Data Mining - Science topic

IEEE 2025 6th International Conference on Computer Vision, Image and Deep Learning (CVIDL 2025) will be held on May 23-25, 2025 in Ningbo, China.

The topics of interest for submission include, but are not limited to:

1. Vision and Image technologies

· Image-based computer graphics

· computational vision theory

· Image Analysis of the video

· Graphics modeling

· Image processing

· Image acquisition

· Image Segmentation

· Medical image processing

......

2. DL Technologies

· Caption generation

· Cognitive architectures

· Commonsense reasoningo Episodic reasoning

· Intelligent agents (e.g., planning and acting, goal reasoning)

· Machine learning (e.g., deep, reinforcement, statistical relational, transfer)

· Model-based reasoning Narrative intelligence

· Temporal reasoning Visual reasoning

3. DL Applications

· Ambient intelligence

· Autonomic computing

· Biomedical systems

· Computer games

· Image processing (e.g., security/surveillance tasks)

· Information retrieval and reuse

· Intelligent tutoring systems

· Language translation

......

All accepted full papers will be published in IEEE ( ISBN: 979-8-3315-2324-4) and will be submitted to IEEE Xplore, EI Compendex, Scopus and Inspec for indexing.

Full Paper Submission Date: May 16,2025

Registration Deadline: May 16, 2025

Final Paper Submission Date: May 16, 2025

Conference Dates: May 23-25, 2025

Please send the full paper(word+pdf) to Submission System:

Call for papers：2025 International Conference on Digital Economy and Intelligent Computing（DEIC 2025）will be held from May 23-25, 2025 in Shanghai, China.

大会官网(投稿网址）：https://ais.cn/u/ErMBni

大会时间：2025年5月23-25日

大会地点：中国-上海

提交检索：EI Compendex ,Scopus

随着互联网、大数据、人工智能等技术的快速发展，数字经济已成为全球经济增长的重要动力。数字经济不仅改变了传统产业的生产经营方式，还催生了一大批新兴产业和商业模式。智能计算作为数字经济的重要技术支撑，涉及机器学习、人工智能、数据分析等多个领域。此外，数字经济正在从根本上重塑全球经济格局，各国也将其视为国家战略的重要组成部分。智能计算技术的快速发展和广泛应用给社会带来了深远的影响，其在金融等诸多领域的创新和应用也在不断深入。

该会议旨在搭建一个国际学术交流平台，为数字经济和智能计算领域的专家、学者和从业者提供一个分享最新研究成果、交流思想、建立合作关系的机会。

区块链在数字经济中的应用

智能计算与供应链管理

人工智能伦理与数字经济

自然语言处理和聊天机器人

深度学习算法及其应用

数字金融与金融科技创新

智慧城市和智慧社会

区块链技术与区域经济

智能和人工智能控制

智能自动化

智能系统传感器

智能数据分析

人工智能算法

人工智能工具与应用

自然语言处理

数据挖掘和机器学习工具

人工智能驱动金融服务创新

人工智能开源发展趋势

数字经济下的普惠金融研究

供应链金融的数字化转型

开源创新在产业应用研究

物联网设备的智能交互设计

仿生机器人设计与具身智能的实现

智能可穿戴设备中的空间感知

基于空间计算的协作机器人系统

移动计算中的空间数据管理

AI模型的透明性与可解释性探索

自动化机器学习中的模型风险管理

嵌入式AI系统的安全性验证

数据隐私保护技术在AI中的应用

AI模型的偏见检测与消减技术

会议投稿经过2-3位组委会专家严格审核后，最终所录用的论文将被ACM ICPS (ACM International Conference Proceeding Series)出版论文集，并提交至ACM Digital library，EI Compendex, Scopus，谷歌学术检索。

DEIC 2025 设置有口头演讲/海报展示/听众参会三种方式，选择其中一种进行报名参会均可在会后领取参会证明

1、口头演讲：申请口头报告，时间为10-15分钟左右

2、海报展示：制作A1尺寸彩色海报，线上/线下展示

3、听众参会：不投稿仅参会，可与现场嘉宾/学者进行交流互动

4、论文录用后可享一名作者免费参会名额

Call for papers: 2025 4th International Conference on Electronic Information Engineering and Data Processing(EIEDP 2025) will be held on January 17-19, 2025 in Kuala Lumpur, Malaysia.

大会官网(投稿网址）：https://ais.cn/u/32mQzi

大会时间：2025年1月17-19日

大会地点：马来西亚-吉隆坡

提交检索：EI Compendex, Scopus

主办单位：马来亚大学

第四届电子信息工程与数据处理国际学术会议（EIEDP 2025）将于2025年1月17-19日在马来西亚首都吉隆坡举办。EIEDP 2025聚焦于电子信息技术的最新进展、大数据处理的创新方法、人工智能应用的深入探索、以及物联网技术的前沿趋势，旨在为全球电子信息工程与数据处理领域的专业人士搭建一个高端交流平台。会议将汇集来自世界各地的顶尖学者、行业领导者、研究人员与工程师，共同分享研究成果、交流实践经验、探讨未来挑战与机遇。会议特色拟定包括主题演讲、分论坛报告、以及口头和海报展示，为参会者提供全方位、深层次的学术交流体验。我们特别邀请了多位国际知名专家进行特邀报告，分享他们在各自研究领域的深刻洞察与独到见解。

算法

计算机网络

计算机软件

计算伦理

计算机模拟

神经网络

计算机安全

图像处理

人工智能

其他相关主题...

电力电子技术

通信信号处理

数字信号处理

微波技术与天线

电磁场与电磁波

信号与图像处理

自动控制和智能控制

计算机与网络技术

网络与办公自动化技术

多媒体技术

单片机技术

电子系统设计工艺

电子设计自动化（EDA）技术

其他相关主题

数据挖掘

大数据技术与应用

大数据运维

数学与应用科学

信息与计算科学

计算机科学

数据科学与大数据技术

控制科学

系统科学

物联网

计算机控制技术

其他相关主题

EIEDP 2025所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，会议所录用论文将以论文集的形式交由SPIE - The International Society for Optical Engineering (ISSN: 0277-786X)出版，出版后提交 EI Compendex, Scopus检索。

1、作者参会：一篇录用文章允许一名作者免费参会；

2、主旨报告：可申请主题演讲，由组委会审核；

3、口头报告：可申请口头报告，时间为15分钟；

4、海报展示：可申请海报展示，A1尺寸，彩色打印；

5、听众参会：不投稿仅参会，也可申请演讲及展示；

6、报名参会：https://ais.cn/u/32mQzi

2025 International Conference on Artificial Intelligence, Digital Media Technology and Social Computing 2025 (ICAIDS 2025)will be held in Shanghai, China on April 11-13, 2025.

The topics of interest for submission include, but are not limited to:

◕ Social computing science

Deep learning

Neural network

Affective computing

Data mining

Network mining

Privacy protection

Interpretable machine learning

Knowledge graph

Large language model

Modeling complex social systems

......

◕ Social computing applications

Recommendation system

Human-computer interaction and visualization

Social media mining

Urban computing

Multimedia information processing

Multimodal sentiment analysis

User classification

User modeling

Pervasive computing

Smart city

Online community

Social network analysis

Social recommendation

Web 2.0 and the Semantic Web

......

Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the Conference Proceedings, which will be submitted for indexing by Ei Compendex, Scopus.

Full Paper Submission Date: March 14, 2025

Notification Date: March 21, 2025

Final Paper Submission Date: March 28, 2025

Conference Dates: April 11-13, 2025

Please send the full paper(word+pdf) to Submission System:

IEEE 2025 International Conference on Artificial Intelligence and Digital Ethics (ICAIDE 2025), which will be held in Guangzhou,China during May 30-June 1, 2025.

This conference aims to bring together thought leaders, researchers, and practitioners from academia, industry, and policy sectors to engage in meaningful discussions about the implications of artificial intelligence on society. We will explore critical topics, including algorithmic bias, data privacy, the impact of AI on employment, and the ethical frameworks necessary for responsible AI development. Through keynote speeches, panel discussions, and workshops, participants will collaborate to address the challenges and opportunities presented by AI technologies. Together, we strive to foster a deeper understanding of digital ethics and its role in shaping a sustainable future. Join us as we navigate the complex intersection of technology and morality in the digital age.

The topics of interest for submission include, but are not limited to:

◕ Track 1: Artificial Intelligence

AI Algorithms

Natural Language Processing

Fuzzy Logic

Computer Vision and Image Understanding

Signal and Image Processing

Speech and Natural Language Processing

Computational Theories of Learning

Information Retrieval and Fusion

......

◕ Track 2: Digital Ethics

AI Algorithmic Transparency

Data Privacy

Bias and Fairness

Ethical Frameworks

AI Governance

Ethics of Machine Learning

AI Decision-Making

Explainability

Accountability and Responsibility

......

All accepted papers will be published by IEEE (ISBN:979-8-3315-2385-5) and will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

Full Paper Submission Date: March 15, 2025

Registration Deadline: May 10, 2025

Final Paper Submission Date: April 30, 2025

Conference Date: May 30-June 1, 2025

Please send the full paper(word+pdf) to Submission System:

Intelligent systems based on machine learning, deep learning and data mining to detect counterfeiting, money laundering and banking fraud

with the ability to analyze in real time and predict suspicious patterns

会议征稿：IEEE第八届大数据与应用统计国际学术研讨会（ISBDAS 2025）

Call for papers: 2025 8th International Symposium on Big Data and Applied Statistics (ISBDAS 2025) will be held on February 28- March 2, 2025 in Guangzhou, China.

大会官网(投稿网址）：https://ais.cn/u/NBvqyq

大会时间：2025年2月28日-3月2日

大会地点：中国-广州

提交检索：IEEE Xplore, EI,Scopus

主办单位：广东省高等教育学会人工智能与高等教育研究分会

第八届大数据与应用统计国际学术研讨会（ISBDAS 2025）定于2025年2月28-3月2日在中国广州举行。会议旨在为从事“大数据”与“应用统计学”研究的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。

智能计算应用

模型与计算

智能计算算法

进化计算

数据挖掘

三元决策与机器学习

组合算法

数据和文本挖掘

知识推理

深度学习

博弈论

认知建模与计算

概率论与统计学

微分方程及其应用

离散数学与控制

线性代数及其应用

数值分析

运筹学与优化

近似理论

组合数学

可计算性理论

离散几何

矩阵计算

所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所录用的论文将由IEEE (ISBN:979-8-3315-0719-0) 出版，收录进IEEE Xplore数据库，出版后提交EI, Scopus检索。

1、作者参会：一篇录用文章允许一名作者免费参会；

2、主旨报告：可申请主题演讲，由组委会审核；

3、口头报告：可申请口头报告，时间为15分钟；

4、海报展示：可申请海报展示，A1尺寸，彩色，JPG/PNG格式（宽*高：594mm*841mm）；系统报名后于2025年2月20日前发送文件至邮箱ISBDAS@163.com，邮件主题【线上/现场-海报展示-姓名】；

5、听众参会：不投稿仅参会，也可申请演讲及展示；

6、报名参会：https://ais.cn/u/NBvqyq

IEEE 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2024) will be held in Xiamen, China on December 27-29, 2024.

ICAIRC 2024 aims to be the premier global forum for presenting, discussing, and promoting cutting-edge advancements in intelligent robot control systems and wireless communication. With a focus on the integration of artificial intelligence, natural computing, and evolutionary-inspired computing within wireless control systems for telerobotics, the conference seeks to foster international collaboration among industry experts, researchers, and academics. Attendees will have the opportunity to engage with groundbreaking research, participate in in-depth discussions, and utilize extensive networking opportunities, all designed to drive innovation and academic excellence in these dynamic and rapidly evolving fields. The event will feature keynote addresses from eminent industry leaders, interactive sessions, and workshops that encourage forward-thinking and collaborative breakthroughs.

The topics of interest for submission include, but are not limited to:

◕ Artificial Intelligence

· Artificial Intelligence Applications & Technologies

· Artificial Neural Networks

· Artificial Intelligence tools & Applications

· Bayesian Networks

· Neuroinformatics

......

◕ Robotics Science and Engineering

· Robot control

· Mobile robotics

· Intelligent pension robots

· Mobile sensor networks

· Perception systems

......

◕ Communication

· Optical Communications

· Wireless Communications and Technologies

· High-Speed Networks

· Communication Software

· Ultra-Wideband Communications

......

All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.

Full Paper Submission Date: November 30, 2024

Registration Deadline: December 7, 2024

Full Paper Submission Date: December 14, 2024

Conference Dates: December 27-29, 2024

Please send the full paper(word+pdf) to Submission System:

Publisher:

Emerald Publishing

Book Title:

Data Science for Decision Makers: Leveraging Business Analytics, Intelligence, and AI for Organizational Success

Editors:

· Dr. Miltiadis D. Lytras, The American College of Greece, Greece

· Dr. Lily Popova Zhuhadar, Western Kentucky University, USA

Book Description

As the digital landscape evolves, the integration of Business Analytics (BA), Business Intelligence (BI), and Artificial Intelligence (AI) is revolutionizing Decision-Making processes across industries. Data Science for Decision Makers serves as a comprehensive resource, exploring these fields' convergence to optimize organizational success. With the continuous advancements in AI and data science, this book is both timely and essential for business leaders, managers, and academics looking to harness these technologies for enhanced Decision-Making and strategic growth. This book combines theoretical insights with practical applications, addressing current and future challenges and providing actionable guidance. It aims to bridge the gap between advanced analytical theories and their applications in real-world business scenarios, featuring contributions from global experts and detailed case studies from various industries.

Book Sections and Chapter Topics

Section 1: Foundations of Business Analytics and Intelligence

· The evolution of business analytics and intelligence

· Key concepts and definitions in BA and BI

· Data management and governance

· Analytical methods and tools

· The role of descriptive, predictive, and prescriptive analytics

Section 2: Artificial Intelligence in Business

· Overview of AI technologies in business

· AI for data mining and pattern recognition

· Machine learning algorithms for predictive analytics

· Natural language processing for business intelligence

· AI-driven decision support systems

Section 3: Integrating AI with Business Analytics and Intelligence

· Strategic integration of AI in business systems

· Case studies on AI and BI synergies

· Overcoming challenges in AI adoption

· The impact of AI on business reporting and visualization

· Best practices for AI and BI integration

Section 4: Advanced Analytics Techniques

· Advanced statistical models for business analytics

· Deep learning applications in BI

· Sentiment analysis and consumer behavior

· Realtime analytics and streaming data

· Predictive and prescriptive analytics case studies

Section 5: Ethical, Legal, and Social Implications

· Data privacy and security in AI and BI

· Ethical considerations in data use

· Regulatory compliance and standards

· Social implications of AI in business

· Building trust and transparency in analytics

Section 6: Future Trends and Directions

· The future of AI in business analytics

· Emerging technologies and their potential impact

· Evolving business models driven by AI and analytics

· The role of AI in sustainable business practices

· Preparing for the next wave of digital transformation

Objectives of the Book

· Provide a deep understanding of AI’s role in transforming business analytics and intelligence.

· Present strategies for integrating AI to enhance Decision-Making and operational efficiency.

· Address ethical and regulatory considerations in data analytics.

· Serve as a practical guide for executives, data scientists, and academics in a data-driven economy.

Important Dates

· Chapter Proposal Submission Deadline: 25 November 2024

· Full Chapter Submission Deadline: 31 January 2025

· Revisions Due: 4 April 2025

· Submission to Publisher: 1 May 2025

· Anticipated Publication: Winter 2025

Target Audience

· Business Professionals and Executives: Seeking insights to improve Decision-Making.

· Data Scientists and Business Analysts: Expanding their toolkit with AI and analytics techniques.

· Academic Researchers and Educators: Using it as a resource for teaching and research.

· IT and MIS Professionals: Enhancing their understanding of BI systems and data management.

· Policy Makers and Regulatory Bodies: Understanding the social and regulatory impacts of AI and analytics.

Keywords

· Artificial Intelligence

· Business Analytics

· Business Intelligence

· Data Science

· Decision-Making

Submission Guidelines

We invite chapter proposals that align with the outlined sections and objectives. Proposals should include:

· Title

· Authors and affiliations

· Abstract (200-250 words)

· Keywords

Contact Information

Dr. Miltiadis D. Lytras: miltiadis.lytras@gmail.com

Dr. Lily Popova Zhuhadar: lily.popova.zhuhadar@wku.edu

We are excited to invite researchers and practitioners to submit their work to the upcoming Workshop on Combating Illicit Trade, organized by Working Group 4 of the EU COST Action GLITSS. This workshop will focus on leveraging data science, artificial intelligence (AI), machine learning, and blockchain to address the global challenge of illicit trade.

Scope:

Illicit trade spans a wide range of domains, from trafficking of historical artifacts, human and wildlife trafficking, to environmental crimes. In this workshop, we aim to:

Topics of Interest:

Important Dates:

This workshop offers a unique opportunity to contribute to the global fight against illicit trade using cutting-edge technologies. We encourage authors to submit their research and join us in advancing this important field.

For more details on submission guidelines and registration, please visit https://icpram.scitevents.org/DSAIB-IllicitTrade.aspx.

Looking forward to your submissions!

I am experiencing an issue when trying to access the 'text mining' section in the Stitch database. Upon entering this section, which is supposed to display literature sources, no information is loaded.

Call for papers: IEEE 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2024) will be held in Xiamen on December 27-29, 2024.

大会官网(投稿网址）：https://ais.cn/u/3aMje2

大会时间：2024年12月27-29日

大会地点：中国-厦门

收录检索：IEEE Xplore, EI Compendex, Scopus

第四届人工智能、机器人和通信国际会议（ICAIRC 2024）定于2024年12月27-29日在中国厦门举行。会议旨在为从事“人工智能、机器人和通信”研究的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。

1. 人工智能

人工智能应用与技术

人工神经网络

人工智能工具与应用

贝叶斯网络

神经信息学

机器人

数据挖掘

......

2. 机器人科学与工程

机器人控制

移动机器人

智能养老机器人

移动传感器网络

感知系统

微型机器人和微型操纵

视觉服务

搜索、救援和现场机器人

机器人传感与数据融合

......

3. 通信

光通信

无线通信和技术

高速网络

通信软件

超宽带通信

多媒体通信

密码学和网络安全

绿色通信

移动通信

ICAIRC 2024所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由IEEE出版（ISBN号：979-8-3315-3122-5），收录进IEEE Xplore数据库，见刊后由期刊社提交至EI 、SCOPUS收录。

—— 每篇录用缴费的文章，允许一名作者免费参会 ——

（1）口头汇报：10-15分钟的全英PPT演讲；

*开放给所有投稿作者与自费参会人员；针对论文或者论文里面的研究做一个10-15min的英文汇报，需要自备PPT，无模板要求，会前根据会议邮件通知进行提交，详情联系会议秘书。

（2）海报展示：自制电子版海报，会议安排展示；

*开放给所有投稿作者与自费参会人员；格式：全英-A1尺寸-竖版，需自制；制作后提交海报图片至会议邮箱icairc@163.com，主题及海报命名格式为：海报展示+姓名+订单号。

（3）仅参会：非投稿作者，现场听众参会。

*仅开放给自费参会人员，（3人及以上）组队参会优惠请联系会议秘书。

（4）报名参会：https://ais.cn/u/3aMje2

Let us share your insights regarding latest trends and developments in text mining research and applications.

How to mine data, Best analytics tools and best latest practices?

2025 2nd International Conference on Informatics Education and Computer Technology Applications (IECA 2025)will be held in Kuala Lumpur, Malaysia during January 17-19, 2025.

Dates: January 17-19, 2025

Venue: Kuala Lumpur, Malaysia

Event Format: Hybrid (In-person and Virtual)

Hosted by: Universiti Teknologi Malaysia

The topics of interest for submission include, but are not limited to:

Track 1: Educational Data Mining and Learning Analytics

▪ Data-driven approaches to education

▪ Learning analytics and visualization

▪ Educational data mining and machine learning

▪ Big data in education

▪ Personalized learning

▪ Educational decision making

......

Track 2: STEM Education and Computational Thinking

▪ STEM education and pedagogy

▪ Computational thinking and coding education

▪ Robotics and automation in STEM education

▪ Computational modeling and simulation in education

▪ Educational applications of Internet of Things

▪ Digital fabrication and maker education

▪ E-learning platforms and tools

......

Track 3: Emerging Technologies In Education

▪ Web-based Learning

▪ Social Media Analysis and Educational Applications

▪ Technology-Enhanced Learning

▪ Flipped Classroom

▪ Impact of Web Technologies on Education

▪ Web Classroom Applications

......

Prof. Yonghui Li (ARC Future Fellow, Fellow IEEE),The University of Sydney, Australia

Prof. Li Qing (Fellow IEEE),The Hong Kong Polytechnic University, Hongkong, China

Prof. Vladan Devedzic,University of Belgrade, Faculty of Organizational Sciences

Serbian Academy of Sciences and Arts, Serbia

Prof. Dayang N. A. Jawawi,Universiti Teknologi Malaysia, Malaysia

All accepted full papers will be published in the IECA 2025 Conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

Full Paper Submission Date: November 1, 2024

Final Paper Submission Date: December 6, 2024

Registration Deadline: January 07, 2025

Conference Dates: January 17-19, 2025

Please send the full paper(word+pdf) to Submission System:

Call for papers: 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA 2024) will be held during December 6-8, 2024 in Hangzhou, China.

大会官网(投稿网址）：https://ais.cn/u/iyMvqe

大会时间：2024年12月06-08日

大会地点：中国-杭州

收录检索：EI、Scopus

主办单位：浙江大学数字沟通中心

第四届计算建模、仿真与数据分析国际学术会议(CMSDA 2024)将于2024年12月6-8日即将在中国浙江省杭州市召开。计算建模、仿真与数据分析国际学术会议至今已成功举办三届，吸引了近300名计算机与大数据等领域的专家学者参会，多所国内外高等院校、科研院所、企事业单位团体参会。在即将举行的第四届会议上，我们邀请到学术领域的知名教授将与参会者分享在计算建模、数据挖掘与分析等领域的最新创新和研究成果。

一、建模与仿真：模型验证与确认 、智能和专家系统 、计算机网络建模与分析、电路仿真、离散事件和数据仿真 、工业仿真建模 、机器人系统仿真 、物联网建模、教育建模 、材料工程仿真 、电力系统模拟 、模糊建模 、过程仿真与建模、性能评估与建模、移动系统建模

二、数据分析及应用：数据挖掘 、大数据可视化 、计算机仿真 、模型优化 、模型可视化 、建模分析 、线性回归分析 、多模态交互 、深度学习 、数据分类、边缘计算、移动计算

所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由ACM International Conference Proceedings Series出版，见刊后提交至EI Compendex, Scopus检索。往届会议皆已完成检索。

[CFP]2024 4th International Symposium on Artificial Intelligence and Big Data (AIBFD 2024) - December

AIBDF 2024 will be held in Ganzhou during December 27-29, 2024. The conference will focus on the artificial intelligence and big data, discuss the key challenges and research directions faced by the development of this field, in order to promote the development and application of theories and technologies in this field in universities and enterprises, and provide innovative scholars who focus on this research field, engineers and industry experts provide a favorable platform for exchanging new ideas and presenting research results.

◕Track 1：Artificial Intelligence

Natural language processing

Fuzzy logic

Signal and image processing

Speech and natural language processing

Learning computational theory

......

◕Track 2：Big data technology

Decision support system

Data mining

Data visualization

Sensor network

Analog and digital signal processing

......

Full Paper Submission Date: December 23, 2024

Registration Deadline: December 23, 2024

Conference Dates: December 27-29, 2024

[CFP]2024 2nd International Conference on Information Education and Artificial Intelligence (ICIEAI 2024) - December

The conference will focus on information-based education, artificial intelligence and other research fields, and invite experts and scholars to introduce research on how artificial intelligence in education can help society meet its needs of providing inclusive and fair high-quality education and promoting lifelong learning for all. The conference will focus on how AI shapes and can shape education in all walks of life, how to advance the science and engineering of AI-assisted interactive learning systems, and how to promote widespread adoption. Discuss how novel research ideas can meet practical needs to build an effective ecosystem of AI-assisted human technologies that support learning. This conference will provide an authoritative international exchange platform for researchers in related fields, promote good academic exchanges among scholars in related fields, and promote the development and application of theories and technologies in this field in universities and enterprises. Participants establish business or research contacts and find global partners for future careers.

◕Information Education

○ Educational Science

○ Internet + Education

○ Distance Education

○ Smart education

○ Active learning

○ learning model

......

◕Artificial Intelligence

○ Artificial Intelligence Technology and Application

○ AI and Education

○ Educational Data Mining

○ Machine Perception and Virtual Reality

○ cognitive science

......

Full Paper Submission Date: October 30, 2024

Registration Deadline: December 9, 2024

Conference Dates: December 20-22, 2024

About the subject:

Is there anyone who can state some hypotheses?

Hi,

I am a PhD student in Marketing Management, looking for a remote research assistant position or collaboration opportunities. I want to deepen my applied knowledge in Analysis of consumer behavior and explore its applications in various fields.

I am familiar with Digital marketing and KPIs Analysis but am also eager to learn how data mining is applied in areas such as consumer behavior, Customer clustering, and Retention Marketing.

If there are any available opportunities, I would love to contribute and expand my expertise.

If someone is willing to work on the topic, I will collect Data from Iran and he/she will collect his own country. Write an article, send a message and announce Email: Zarandi@ut.ac.ir

hello

I want to do research on the use of data mining in customer clustering.

Is there anyone we can work with?

IEEE 2024 5th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE 2024) will be held on September 20-22, 2024 in Wenzhou, China.

The topics of interest include, but are not limited to:

· Big Data Analysis

· Deep Learning、Machine Learning

· Artificial Intelligence

· Pattern Recognition

· Data Mining

· Cloud Computing Technologies

· Internet of Things

· AI Applied to the IoT

· Clustering and Classificatio

· Soft Computing

· Natural Language Processing

· E-commerce and E-learning

· Wireless Networking

· Network Security

· Big Data Networking Technologies

· Graph-based Data Analysis

· Signal Processing

· Online Data Analysis

· Sequential Data Processing

All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing.

Full Paper Submission Date: July 10,2024

Registration Deadline: August 5, 2024

Final Paper Submission Date: August 20, 2024

Conference Dates: September 20-22, 2024

Please send the full paper(word+pdf) to Submission System:

Call for papers: 2024 International Conference on Intelligent Computing and Data Mining (ICDM 2024) will be held on September 20-22, 2024 in Chaozhou, China.

大会官网(投稿网址）：https://ais.cn/u/AFBBfq

大会时间：2024年9月20-22日

大会地点：中国-潮州

收录检索：EI Compendex，Scopus

智能计算与数据挖掘是当今信息技术领域的研究热点，并在众多领域都有着广泛的应用，如金融、医疗、教育、交通等。随着大数据时代数据量爆炸式增长，如何从海量数据中提取有价值的信息，一直是需要迭代解决的问题。2024年智能计算与数据挖掘国际学术会议（ICDM 2024）为探讨相关问题提供一个平台，各位专家学者将深入探讨最新研究成果，通过对数据的分析和处理，提供智能化的决策支持，讨论在面对复杂问题时，如何运用数据驱动的方法，通过分析数据背后的规律和关联，找到问题的本质和解决方案，欢迎广大学者踊跃参会交流。

智能计算：遗传算法、进化计算与学习、群智能与优化、独立成分分析、自然计算、量子计算、神经网络、模糊理论与算法、普适计算、机器学习、深度学习、自然语言处理、智能控制与自动化、智能数据融合、智能数据分析与预测等。

数据挖掘：网络挖掘、数据流挖掘、并行和分布式算法、图和子图挖掘、大规模数据挖掘方法、文本、视频和多媒体数据挖掘、可扩展数据预处理、高性能数据挖掘算法、数据安全和隐私、电子商务的数据挖掘系统等。

ICDM 2024所征稿件会经由2-3位组委会专家审稿，最终所录用的论文将以IEEE出版，收录进IEEE Xplore数据库，见刊后由期刊社提交至EI Compendex和Scopus检索。

ICDM 2024的参会设有口头演讲/海报展示/听众三种形式，可点击以下链接报名参会，在会后领取参会证书：https://ais.cn/u/AFBBfq

1、口头演讲：申请口头报告，时间为10-15分钟左右

2、海报展示：制作A1尺寸彩色海报，线上/线下展示

3、听众参会：不投稿仅参会，可与现场嘉宾/学者进行交流互动

4、汇报PPT和海报，请于会议前一周提交至大会邮箱 （icicdm@163.com）

5、论文录用后可享一名作者免费参会名额

Dear Colleagues,

The Faculty of Computer Science, Universitas Singaperbangsa Karawang, Karawang, Indonesia, proudly presents:

The 1st International Conference on Network, Information Technology, and Computer Science of Singaperbangsa (ICONICSS 2024)

🗓️ 03 October 2024

🏠 Hybrid conference combining both online participation through virtual meetings and in-person attendance in Bandung, West Java, Indonesia.

Theme:

"The Impact of Digital Innovation on Advancing Sustainable Development Objectives"

Opening Speaker:

Prof. Ade Maman Suherman, S.H., M.Sc. (Rector of Universitas Singaperbangsa Karawang)

Keynote Speakers:

1. Prof. João Saraiva (Green Software Laboratory, Universidade do Minho, Braga, Portugal)

2. Prof. Ir. Teddy Mantoro, M.Sc., Ph.D. (Senior Member, IEEE, Professor of Computer Science, Sampoerna University, Indonesia)

3. Prof. Anton Satria Prabuwono, Ph.D. (Professor at the Faculty of Computing and Information Technology in Rabigh, King Abdulaziz University)

We invite all academicians and professionals to participate in this conference. Accepted articles will be processed and published in International Proceeding indexed by SCOPUS after reviewing the process.

ICONICSS 2024 accepts full papers in these areas, but not limited to:

* Artificial Intelligence

* Augmented and Virtual Reality

* Bioinformatics

* Big Data

* Cloud Computing

* Computational Modeling

* Computer Graphics

* Computing in Medicine and Biology

* Computing in Social Sciences

* Computer Optimization

* Computer Vision

* Data Communication Networking

* Data Mining

* Decision Support Systems

* Digital Image Processing

* Distributed Systems

* E-Commerce

* E-Government

* E-Health

* Embedded Systems

* Geographic Information Systems

* High-Performance Computing

* Human-Computer Interaction

* Information Retrieval

* Information Security

* Information Systems

* Internet of Things

* IT Governance

* Linked Data

* Machine Learning

* Natural Language Processing

* Numerical Analysis in Science & Engineering

* Semantic Web

* Socio-Informatics

* Soft Computing

* Software Engineering

* Smart City

* Speech Recognition

* User Experience and Design

* Wireless Sensor Networks

Important Dates - Times in UTC:

🗓️ 25 May 2024 (Abstract Submission Opens)

🗓️ 17 July 2024 (Abstract Submission Deadline)

🗓️ 20 July 2024 (Acceptance Notification)

🗓️ 31 July 2024 (Payment Deadline)

🗓️ 17 August 2024 (Full Paper Submission)

🗓️ 03 October 2024 (Conference Day)

For further information and to register:

🌐 [ICONICSS Website](https://iconicss.unsika.ac.id/)

✉️ iconicss@cs.unsika.ac.id

Contact Persons:

📞 Ratna Mufidah, M.Kom. (085215957346)

📞 Mina (https://s.id/iconicss_group)

Please share this event!

My expertise in computer science is exclusively in data mining and medical datasets.

I am interested in working in a research group remotely and without salary (only for conducting research and writing articles).

Is anyone interested in having me in their research group?

Recently, I discovered the dimension of the SOM network do turn out to be the number of data clusters for data clustering or image segments when used for image segmentation.

For example, if the dimension of the SOM is 7 x 7, then the number of clusters(segments) would be 49, if the dimension of 2 x 1, then the number of clusters(segments) would be 2.

1. Therefore, are there techniques for determining the dimension?

2. What should be the basis/yard stick for picking the dimension?

3. If the knowledge of the data is the basis/yard stick for picking the dimension, is that not a version of K-means??

2024 5th International Conference on Computer Vision and Data Mining(ICCVDM 2024) will be held on July 19-21, 2024 in Changchun, China.

---Call For Papers---

The topics of interest for submission include, but are not limited to:

◕ Computational Science and Algorithms

· Algorithms

· Automated Software Engineering

· Computer Science and Engineering

......

◕ Vision Science and Engineering

· Image/video analysis

· Feature extraction, grouping and division

· Scene analysis

......

◕ Software Process and Data Mining

· Software Engineering Practice

· Web Engineering

· Multimedia and Visual Software Engineering

......

◕ Robotics Science and Engineering

Image/video analysis

Feature extraction, grouping and division

Scene analysis

......

All accepted papers will be published by SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and submitted to EI Compendex, Scopus for indexing.

Full Paper Submission Date: June 19, 2024

Registration Deadline: June 30, 2024

Final Paper Submission Date: June 30, 2024

Conference Dates: July 19-21, 2024

2024 4th International Conference on Computer, Remote Sensing and Aerospace (CRSA 2024) will be held at Osaka, Japan on July 5-7, 2024.

The topics of interest for submission include, but are not limited to:

1. Algorithms

Image Processing

Data processing

Data Mining

Computer Vision

Computer Aided Design

......

2. Remote Sensing

Optical Remote Sensing

Microwave Remote Sensing

Remote Sensing Information Engineering

Geographic Information System

Global Navigation Satellite System

......

3. Aeroacoustics

Aeroelasticity and structural dynamics

Aerothermodynamics

Airworthiness

Autonomy

Mechanisms

......

All accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.

Full Paper Submission Date: May 31, 2024

Registration Deadline: May 31, 2024

Conference Date: July 5-7, 2024

Invitation code: AISCONF

*Using the invitation code on submission system/registration can get priority review and feedback

I m currently doing a research on Data mining in Digital marketing and will like to get your opinion

1. The effects of mining and its impact in digital marketing

2. Does mining artificially alter organizations marketing campaign and if yes what are the pros and cons. if no, please state your reason or observations

3. is data mining the future of digital marketing, will mining determine the profitability of organizations in the nearest future.

4. Any other advise on this topic to aid my research.

2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE 2024) will be held on June 28- June 30, 2024 in Zhuhai China.

MLISE is conducting exciting series of symposium programs that connect researchers, scholars and students to industry leaders and highly relevant information. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. MLISE propose new ideas, strategies and structures, innovating the public sector, promoting technical innovation and fostering creativity in development of services.

The topics of interest for submission include, but are not limited to:

1. Machine Learning

- Deep and Reinforcement learning

- Pattern recognition and classification for networks

- Machine learning for network slicing optimization

- Machine learning for 5G system

- Machine learning for user behavior prediction

......

2. Intelligent Systems Engineering

- Intelligent control theory

- Intelligent control system

- Intelligent information systems

- Intelligent data mining

- AI and evolutionary algorithms

......

All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of MLISE 2024 will be published in the MLISE 2024 Conference Proceedings by IEEE (ISBN: 979-8-3503-7507-7), which will be submitted to IEEE Xplore, EI Compendex, Scopus for indexing.

Submission Deadline: April 26, 2024

Registration Deadline: May 26, 2024

Conference Dates: June 28-30, 2024

*Using the invitation code on submission system/registration can get priority review and feedback

Is there any Journals Free Scopus Journals for Data Mining field

I m currently doing a research on Data mining in Digital marketing and will like to get your opinion

1. The effects of mining and its impact in digital marketing

2. Does mining artificially alter organizations marketing campaign and if yes what are the pros and cons. if no, please state your reason or observations

3. is data mining the future of digital marketing, will mining determine the profitability of organizations in the nearest future.

4. Any other advise on this topic to aid my research.

2024 IEEE 7th International Conference on Computer Information Science and Application Technology (CISAT 2024) will be held on July 12-14, 2024 in Hangzhou, China.

The topics of interest for submission include, but are not limited to:

◕ Computational Science and Algorithms

· Algorithms

· Automated Software Engineering

· Bioinformatics and Scientific Computing

......

◕ Intelligent Computing and Artificial Intelligence

· Basic Theory and Application of Artificial Intelligence

· Big Data Analysis and Processing

· Biometric Identification

......

◕ Software Process and Data Mining

· Software Engineering Practice

· Web Engineering

· Multimedia and Visual Software Engineering

......

◕ Intelligent Transportation

· Intelligent Transportation Systems

· Vehicular Networks

· Edge Computing

· Spatiotemporal Data

All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.

Full Paper Submission Date: April 14, 2024

Submission Date: May 12, 2024

Registration Deadline: June 14, 2024

Conference Dates: July 12-14, 2024

*Using the invitation code on submission system/registration can get priority review and feedback

2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2024) will be held in Shenzhen, China, from June 14 to 16, 2024.

The topics of interest for submission include, but are not limited to:

(1) Artificial Intelligence

- Intelligent Control

- Machine learning

- Modeling and identification

......

(2) Sensor

- Sensor/Actuator Systems

- Wireless Sensors and Sensor Networks

- Intelligent Sensor and Soft Sensor

......

(3) Control Theory And Application

- Control System Modeling

- Intelligent Optimization Algorithm and Application

- Man-Machine Interactions

......

(4) Material science and Technology in Manufacturing

- Artificial Material

- Forming and Joining

- Novel Material Fabrication

......

(5) Mechanic Manufacturing System and Automation

- Manufacturing Process Simulation

- CIMS and Manufacturing System

- Mechanical and Liquid Flow Dynamic

......

All accepted papers will be published in the Conference Proceedings, which will be submitted for indexing by EI Compendex, Scopus.

Full Paper Submission Date: April 1, 2024

Registration Deadline: May 31, 2024

Final Paper Submission Date: May 14, 2024

Conference Dates: June 14-16, 2024

*Using the invitation code on submission system/registration can get priority review and feedback

It is a comprehensive conference which focuses on Biomedical Engineering and Artificial Intelligent Systems. The main objective of IC-BIS 2024 is to address and deliberate on the latest technical status and recent trends in the research and applications of Biomedical Engineering and Bioinformatics. IC-BIS 2024 provides an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference also aims at motivating the next generation of researchers to promote their interests in Biomedical Engineering and Artificial Intelligent Systems.

Registration Deadline: March 26, 2024

Final Paper Submission Date: April 22, 2024

Conference Dates: April 26-28, 2024

The topics of interest for submission include, but are not limited to:

- Biomedical Signal Processing and Medical Information

· Biomedical signal processing

· Medical big data and machine learning

· Application of artificial intelligent for biomedical signal processing

......

- Bioinformatics & Intelligent Computing

· Algorithms and Software Tools

· Algorithms, models, software, and tools in Bioinformatics

· Biostatistics and Stochastic Models

......

- Gene regulation, expression, identification and network

·High-performance computational systems biology and parallel implementations

· Image Analysis

· Inference from high-throughput experimental data

......

I am trying to train a CNN model in Matlab to predict the mean value of a random vector (the Matlab code named Test_2 is attached). To further clarify, I am generating a random vector with 10 components (using rand function) for 500 times. Correspondingly, the figure of each vector versus 1:10 is plotted and saved separately. Moreover, the mean value of each of the 500 randomly generated vectors are calculated and saved. Thereafter, the saved images are used as the input file (X) for training (70%), validating (15%) and testing (15%) a CNN model which is supposed to predict the mean value of the mentioned random vectors (Y). However, the RMSE of the model becomes too high. In other words, the model is not trained despite changing its options and parameters. I would be grateful if anyone could kindly advise.

..

Can any one suggest this topic is better for PhD work or not. Topic is "Study on the Data Mining Techniques in Healthcare Sector with emphasis on Breast Cancer".

Nowadays, Internet marketing is developing rapidly, including viral Internet marketing used on social media sites, among others, in the form of, for example, Real-Time marketing in the formula of viral marketing. It is also marketing aimed at precisely defined groups, audience segments, potential customers of a specific advertised product and/or service offering. In terms of improving Internet marketing, new ICT information technologies and Industry 4.0/5.0 are being implemented. Marketing conducted in this form is usually preceded by market research conducted using, among other things, sentiment analysis of the preferences of potential consumers based on verification of their activity on the Internet, taking into account comments written on various websites, Internet forums, blogs, posts written on social media. In recent years, the importance of the aforementioned sentiment analysis carried out on large data sets using Big Data Analytics has been growing, thanks to which it is possible to study the psychological aspects of the phenomena of changes in the trends of certain processes in the markets for products, services, factor markets and financial markets. The development of the aforementioned analytics makes it possible to study the determinants of specific phenomena occurring in the markets caused by changes in consumer or investor preferences, caused by specific changes in the behavior of consumers in product and service markets, entrepreneurs in factor markets or investors in money and capital markets, including securities markets. The results from these analyses are used to forecast changes in the behavior of consumers, entrepreneurs and investors that will occur in the following months and quarters. In addition to this, sentiment analyses are also conducted to determine the preferences, awareness of potential customers, consumers in terms of recognition of the company's brand, its offerings, description of certain products and services, etc., using textual data derived from comments, entries, posts, etc. posted by Internet users, including social media users on a wide variety of websites. The knowledge gained in this way can be useful for companies to plan marketing strategies, to change the product and service offerings produced, to select or change specific distribution channels, after-sales services, etc. This is now a rapidly developing field of research and the possibilities for many companies and enterprises to use the results of this research in marketing activities, but not only in marketing. Recently, opportunities are emerging to apply generative artificial intelligence and other Industry 4.0/5.0 technologies to analyze large data sets collected on Big Data Analytics platforms. In connection with the development of intelligent chatbots available on the Internet, recently there have been discussions about the possibilities of potential applications of generative artificial intelligence, 5G and other technologies included in the Industry 4.0/5.0 group in the context of using the information resources of the Internet to collect data on citizens, companies, institutions, etc. for their analysis carried out using, among other things, sentiment analysis to determine the opinion of Internet users on certain topics or to define the brand recognition of a company, the evaluation of product or service offerings by Internet users. In recent years, the scope of applications of Big Data technology and Data Science analytics, Data Analytics in economics, finance and management of organizations, including enterprises, financial and public institutions is increasing. Accordingly, the implementation of analytical instruments of advanced processing of large data sets in enterprises, financial and public institutions, i.e. the construction of Big Data Analytics platforms to support organizational management processes in various aspects of operations, including the improvement of customer relations, is also growing in importance. In recent years, ICT information technologies, Industry 4.0/5.0 including generative artificial intelligence technologies are particularly rapidly developing and finding application in knowledge-based economies. These technologies are used in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In recent years, the application of generative artificial intelligence technologies for collecting and multi-criteria analysis of Internet data can significantly contribute to the improvement of sentiment analysis of Internet users' opinions and the possibility of expanding the applications of research techniques carried out on analytical platforms of Business Intelligence, Big Data Analytics, Data Science and other research techniques using ICT information technology, Internet and advanced data processing typical Industry 4. 0/5.0. Most consumers of online information services available on new online media, including social media portals, are not fully aware of the level of risk of sharing information about themselves on these portals and the use of this data by technological online companies using this data for their analytics. I am conducting research on this issue. I have included the conclusions of my research in scientific publications, which are available on Research Gate. I invite you to cooperate with me.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

And what is your opinion on this topic?

What is your opinion on this issue?

Please answer,

I invite everyone to join the discussion,

Thank you very much,

I have described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:

Best wishes,

Dariusz Prokopowicz

Hello there, I am in the search for datasets of software's requirements and their use cases, in hope to be able to gather datasets of use case for the requirements to train a ML model for a research we're working on. Would anyone know any source to find such datasets ?

I want to analyze the research problem in education data mining, with machine learning algorithms, I want to build a model that suggest school students which domain to select for higher education, with evaluating the dataset of student as well as the dataset of higher education of the same student.

I am interested to get depper to the connection between data analysis methods and information visualization that can be generated by this data analysis. For example, data clustering (in data mining) produces a certain kind of information. Which visualization method could be used to best visualize the produced information and why?

I have found this http://www.visual-literacy.org/periodic_table/periodic_table.html which very good on depicting the different visualization methods but lacks explaining to what data analysis method each one of them it is connected.

Any recommended good source?

Thanks

Please suggest new research topic new computer science in data mining using machine learning

Compared to the old-fashioned and currently used emulsion type explosives, the explosive filling of the tunnel face with bulk charging provides better and higher quality vibration values. if you are drilling in the tunnel face with the Mwd (measurement while drilling) featured jumbo. Because with the mwd-capable machine, heterogeneous drilling is performed in the formation whose face surface is uneven and the drilling lengths are different. Therefore, a homogeneous charge in a heterogeneous face with an emulsion-type explosive of constant kilogram will be difficult. Therefore, I think that more stable vibration data will be obtained with bulk charging. What is your opinion?

I created my own huge dataset from different sites and labeled it on some NLP task. How can i publish it in form of Paper or article and where?

Hello everyone,

I want to find emerging pattern of blockchain applications in cybersecurity . I’ve collected and filtered my dataset which now consists of 1183 research items indexed in WoS and scopus. Which text mining algorithms can fulfill the purpose?

I found burst detection and LDA suitable but as a tourism student i want to know about other possibilities and the suggestions of professionals.

Best wishes.

Hello everyone, I’m currently working on my masters thesis in which I want to find current and future application patterns of a technology in an industry based on previous researchers done regarding the topic by analyzing the tittle, abstract, conclusion and implications of these article if it is even possible but I’m not sure which data mining method and algorithm should I use to get the best possible results. It would be great if you could give me advices and feedbacks.

Best regards.

..

Resea

My team and I are trying to open a dialogue about designing a Continuum of Realism for synthetic data. We want to develop a meaningful way to talk about data in terms of the degree of realism that is necessary for a particular task. We feel the way to do this is by defining a continuum that shows that as data becomes more realistic, the analytic value increases, but so does the cost and risk of disclosure. Everyone seems to be interested in generating the most realistic data, but let's be honest, sometimes that's not the level of realism that we actually need. It is expensive and carries a high reidentification risk when working with PII. Sometimes we just need data to test our code, and we can't justify using this level of realism when the risk is so high. Have you also encountered this issue? Are you interested in helping us fulfill our mission? Ultimately we are trying to save money and protect consumer privacy. We would love to hear your thoughts!

It will be for a data mining research that the objective is to classify the best time of day for the operation of the wind farm.

I would need a (tabular, i.e. not imaging or text) dataset with a hierarchically structured outcome to use as an example dataset in a new R package (but the dataset can be of any format, e.g. txt, csv or arff). It should be single-label and tree-structured, e.g. first level: classes 1, ..., 4, second level: 1.1, 1.2, 1.3, 2.1,2.2, third level: 1.1.1, 1.1.2, 1.2.1, 1.2.2, 1.2.3, 1.3.1, 1.3.2., ... .

I want to develop a research about higher school dropout and would like some help on this topic.

yes. for further details contact now

I am writing PhD thesis on data mining. How I can write a good "thesis Innovations"? What are the key points?

The data that is obtained from the institution database is to analyze the GPA and CGPA of 1000 students. The attributes obtained are demographic but no behavioral, income, etc. What type of data mining technique can be used to analyze this type of attributes and obtain patterns from the analysis?

Please do give reference in regards to how the techniques can be applied.

Thank you! Appreciate it.

Hello dear researchers,

I've just accepted in doctoral program with data approximately consisted of thousands observations. I am planning on data mining first to explore, classify, associate, and detecting anomaly. I used to work with Stata and wondering if stata can do such things. Do you have any suggestions about reference that connecting Stata and data mining?

Hi,

Most of the researchers knew R Views website which is:

Please, I am wondering if this website contains all R packages available for researchers.

Thanks & Best wishes

Osman