Big Data - Science topic

The network switches in the data plane of SDN are empowered by an elementary process, in which enormous number of packets which resemble big volumes of data, are classified into specific flows by matching them against a set of dynamic rules. This basic process accelerates the processing of data so that instead of processing singular packets repeate...

When information is set for easy retrieval, access, updation, and management, then it is known as Database. Its major purpose is storing aggregations of records and data files that contain information regarding transactions, customer details, product details and financials. The paper deals with a briefing on DBMS which is a collection of interrelat...

The book aims at presenting a multidisciplinary view meant to illustrate several significant efforts and results about the contribution of information technologies to make available new resources and enable rationally usage the existing ones in the context of the ever-growing trends to use ever more resources. Authors from various countries have be...

Special Session - Smart Healthcare Informatics (SHI): Enhancing Patient Care with Technology

“This book offers a comprehensive information about the potential and challenges of AI in the detection and prevention of infectious diseases. Several innovative chapters will provide real-life solution for several real-life problems. It covers all the major life-threatening infectious diseases indicated by UN sustainable development Goal 3. Big da...

During the Covid-19 pandemic, when strict restrictions were imposed to protect public health, e-commerce played a significant role in providing products on time. E-commerce technology and big data analytics enable companies to gain competitive advantages and respond to customers more efficiently. To make e-commerce more sustainable, the three dimen...

Aim & Scope of the book series: A major objective of this book series is to drive innovation in every aspect of Artificial Intelligent. It offers researchers, educators, and students the opportunity to discuss and share ideas on topics, trends, and developments in artificial intelligence, machine learning, deep learning, big data, and computer inte...

Nowadays, we are seeing a host of powerful IoT technologies, Big Data Solutions, AI algorithms, Machine Learning models, and Deep Learning frameworks, Cloud storages, Cybersecurity aimed at replicating or replacing the human brain capabilities in computing and communication devices. Therefore, human is eager to leverage the most multi-faceted IoT-b...

Quantum mechanics (QM) can be understood as a set of rules that forms the basis for developing all quantum theories. One of these theories is quantum computation (QC), i.e., computation based on QM logic. It is believed that QC provides paths to the problem solution that may not be possible for classical computers. Therefore, it has received attent...

The objective of this paper is to provide a better rendition of Generation Z purchase intentions of retail products through Facebook. The study gyrated around the favorable attitude formation of Generation Z translating into intentions to purchase retail products through Facebook. The role of antecedents of attitude, namely enjoyment, credibility,...

The Big Data era has led to the rapid development of modern sciences. Making effective use of extremely large amounts of collected data is putting extremely urgent demands on High Performance Computing (HPC) systems, especially the resource allocation process, which is commonly managed by the job scheduler. Despite the potential for improved schedu...

The world is facing more energy crises due to extreme weather and the rapidly growing demand for electricity. Siting new substations and optimizing the location of existing ones are necessary to address the energy crisis. The current site selection lacks consideration of spatial and temporal heterogeneity in urban power demand, which results in unr...

In recent years, the frenetic advances of blockchain techniques have promoted the large-scale application of cryptocurrency and attracted significant attention in the mushrooming applications of decentralized finance (DeFi). To guarantee the health of a DeFi ecosystem, it is critical to reduce the transaction risks in a DeFi system. In particular,...

According to the summit of the United Nations (UN) General Assembly 2015, 17 sustainable development goals (SDG) have been adopted “to end poverty, protect the planet through ensuring that all people enjoy peace and prosperity by the year 2030”. Sustainable development is actively used as one of the main preventative instruments to reduce the envir...

This book will provide in depth knowledge about the concepts, technologies and application areas of big data analytics. The book will deal with the important attention regarding the state of the art technologies in use for big data analytics. It will provide in-depth discussion about the important sectors where big data analytics is proved to be ve...

This Special Issue encourages the submission of high-quality, innovative, and original contributions to future wireless communication systems, focusing particularly on the use of AI, deep learning, machine learning, and big data in wireless communications. The list of possible topics includes but is not limited to the following: Artificial intellig...

The traditional migration methods are confronted with formidable challenges when data deduplication technologies are incorporated. Firstly, the deduplication creates data-sharing dependencies in the stored files; breaking such dependencies in migration may attach extra space overhead. Secondly, the redundancy elimination makes the storage system re...

Exactly-once data processing/delivery can be guaranteed in traditional big data processing systems, e.g. Apache Flink. Checkpoint is commonly used as the solution. Each operator in these systems can restart from the last successfully saved state whenever a failure happens. It is not necessary to restore the logical job graph onto the same device(s)...

Federated learning algorithms are developed both for efficiency reasons and to ensure the privacy and confidentiality of personal and business data, respectively. Despite no data being shared explicitly, recent studies showed that the mechanism could still leak sensitive information. Hence, secure aggregation is utilized in many real-world scenario...

The rise of artificial intelligence (AI) technology promises to substantially transform economies around the globe in the coming decades. This paper examines the likely economic impacts of advancing AI in areas such as jobs, business productivity, new markets, and policy challenges. It argues that while AI will displace many existing jobs through a...

Stress is a pervasive mental health issue affecting individuals worldwide and its timely detection is important for effective intervention and support. Stress detection in this project harnesses the vast amount of data usually termed as big data generated by social media and identifies the signs of stress in individuals. By analyzing the data...

The concept of parallelism of computations is very important to obtain the results required by the algorithms of big data processing applied in several domains, like ML, AI, neural networks, approximate computing, etc. In this chapter the use of and stations and of their respective generation/synchronization policies are described [12]. Three eleme...

This paper delves into the realm of advertising campaign optimization, leveraging the power of Artificial Intelligence (AI) to enhance its efficacy. It begins by elucidating the immense potential and advantages offered by AI-driven optimization techniques in the context of advertising campaigns. Despite the promise AI holds, there is a notable dear...

Intrusion Detection System (IDS) is a critical cybersecurity task that involves monitoring network traffic for malicious activity and taking appropriate action to stop it. However, insufficient training data or improperly chosen thresholds often limit the accuracy of such systems, resulting in high false‐positive rates. To improve the accuracy of a...

Artificial Intelligence (AI) can help to interpret and present this big data of historical information on mobile apps in creative and interesting ways. Therefore, building an AI-supported mobile app by using this big data to travel through the history of an architectural icon is the aim of this project. Short description of the app: Travel virtuall...

Big Data (BD) and Artificial Intelligence (AI) play a fundamental role in today’s economy that traditional economic models fail to capture. This paper presents a theoretical conceptualisation of the data economy and derives implications for digital governance and data policies. It defines a hypothetical data-intensive economy where data are the mai...

The of the Var-Covariance matrix estimating is very important and represents a cornerstone in many statistical methods for several scientific fields, as many methods have emerged that are concerned with estimating the var-covariance matrix based on method of maximum likelihood. Nowadays these methods are classical methods and the process of estimat...

Satellites can “sense” oil inventory, but cloud cover prevents observation, which reduces the flow of information into the oil market and creates uncertainty about information availability. The effects of the availability of such information on oil prices need to be thoroughly explored. Therefore, using time-series prediction, this paper examines t...

Wireless sensing networks (WSN) have gained widespread acceptance across numerous industries. They are seen as a crucial element of upcoming real-time systems like Big Data with the Internet of Things. Given the heterogeneous nature of the system, contemporary applications demand minimal latency and flexible actual-time data availability. Enable mi...

Kehadiran buku Digital Public Relations: Pemanfaatan Big Data, SEO, CSR dan Komunikasi Krisis dalam Kegiatan Public Relation di Era Digital ini dimaksudkan untuk merespons kebutuhan bahan ajar dan referensi terkait bidang public relations di era digital yang masih sangat minim. Minat mahasiswa yang tinggi terkait public relations dan perkembangan b...

This research aims to explore the key factors driving the application of Big Data and IoT/AI in potential future developments of automated manufacturing at Hindustan Aeronautics Ltd (HAL). By investigating the current state of automated manufacturing, the study will identify the benefits and challenges associated with integrating Big Data, IoT, and...

Whilst there has been previous work focused on the role of technologies in enhancing supply chain risk management and, through such an enhancement, increased competitive advantage, there is a research gap in terms of understanding the links between external institution pressures and internal adoption factors. We use institutional theory (IT) and th...

El presente artículo tiene como objetivo hacer un análisis sobre los principios, funcionamiento y desafíos futuros del Big Data, desde la perspectiva de la Minería de Datos, haciendo una des- cripción informático-clínica en tres tomos. El Tomo I versará sobre la anatomía del Big Data, en tren de buscar una forma de diseccionarlo en sus conceptos fu...

The telematic procedures that are developed in collaborative environments are nowadays daily processes in crescendo. Its execution implies the transfer of personal data, which is stored by the organizations involved, without, in most cases, the users of these services and platforms being able to control the processing and the uses made of them. In...

The purpose of this article is to discuss the innovation and development of university education management informationization construction in the context of big data. Through a comprehensive comparison of innovative and traditional university education management information systems, it reveals the advantages of the innovative model in terms of fl...

Hotel supply chain management (SCM) refers to the material service that takes a hotel as the core object. At present, the main method is centralized SCM, which uses integer programming or mixed integer programming to establish and solve the allocation management of various resources among hotels in the supply chain. In this article, based on ant co...

In recent decades, memory-intensive applications have experienced a boom, e.g., machine learning, natural language processing (NLP), and big data analytics. Such applications often experience out-of-memory (OOM) errors, which cause unexpected processes to exit without warning, resulting in negative effects on a system’s performance and stability. T...

The paper analyses the role of the urban scale digital twins in conceiving and designing urban spaces. Urban scale digital twins are virtual replicas of cities. Within the current context of data-driven societies, they are often used to test scenarios related to sustainable environmental design. An important reorientation concerning the role of the...

Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the “three-dimensional, small-scale, wide-ranging, and large-scale ecology.” The concept of “meta...

Las gestiones telemáticas que se desarrollan en entornos colaborativos constituyen hoy en día procesos cotidianos in crescendo. Su ejecución implica la cesión de datos personales, que son almacenados por los organismos implicados, sin que, en la mayoría de los casos, los usuarios de estos servicios y plataformas puedan controlar el procesamiento y...

The field of epidemiology plays a critical role in safeguarding public health by studying the patterns, causes, and effects of diseases within populations. "A Comprehensive Guide to Epidemiologist Guidelines" serves as an invaluable resource for both novice and seasoned epidemiologists, offering a detailed exploration of the essential guidelines an...

This paper presents a novel version control system for point clouds, which allows the complete editing history of a dataset to be stored. For each intermediate version, this system stores only the information that changes with respect to the previous one, which is compressed using a new strategy based on several algorithms. It allows undo/redo func...

In recent years, virtual online communities have experienced rapid growth. These communities enable individuals to share and manage images or websites by employing tags. A collaborative tagging system (CTS) facilitates the process by which internet users collectively organize resources. CTS offers a plethora of useful information, including tags an...

Differentiated production and supply chain management (SCM) areas benefit from the IoT, Big Data, and the data-management capabilities of the AI paradigm. Many businesses have wondered how the arrival of AI will affect planning, organization, optimization, and logistics in the context of SCM. Information symmetry is very important here, as maintain...

In this comprehensive review, we aimed to discuss the current state-of-the-art medical imaging for pheochromocytomas and paragangliomas (PPGLs) diagnosis and treatment. Despite major medical improvements, PPGLs, as with other neuroendocrine tumors (NETs), leave clinicians facing several challenges; their inherent particularities and their diagnosis...

With the gradual application of big data technology in enterprises, the way and connotation of audit have changed greatly. This paper is based on the impact of big data technology on auditing, Break down the audit risk into four risk elements, including inherent risk, control risk, big data technology risk and inspection risk, Building an audit ris...

As a cross-protocol endogenous security mechanism, the physical layer-based radio frequency (RF) fingerprinting can effectively enhance the existing password-based application layer authentication utilizing the hardware differences of wireless devices, which is unique and cannot be counterfeited by a third party. However, the recognition performanc...

Quality management can be considered as the set of actions adopted to obtain characteristics of the product or service provided capable of meeting/satisfying needs and even exceeding customer expectations, achieving sustainable results for the organization. In this sense, several improvement programs adopted by organizations have emerged over time,...

The development of college students’ and adolescents’ mental and physical health is of prime importance and has a crucial role in China’s progression. Different types of teachings and methods are envisioned and implemented to achieve this milestone. These methods include therapy and counseling, stress management, mediation, physical activities and...

The goal of approaches to automatic text summarization is to construct summaries while extracting the essential information from one or more input texts. Large models could be trained thanks to the ability to examine text non-sequentially, which led to the Transformer becoming the most well-known NLP model. Big data and associated methodologies are...

With their intensive use of data to classify and price risk, insurers have often been confronted with data-related issues of fairness and discrimination. This paper provides a comparative review of discrimination issues raised by traditional statistics versus machine learning in the context of insurance. We first examine historical contestations of...

In the background of big data informatization, social and economic development needs talent support, and colleges and universities are the main positions of talent training. Using the features of self-organization, distributed multi-intelligence and positive feedback of the ant colony algorithm, a personalized learning path recommendation algorithm...

Poverty is a social issue of global concern. Although socioeconomic indicators can easily reflect poverty status, the coarse statistical scales and poor timeliness have limited their applications. While spatial big data with reasonable timeliness, easy access, and wide coverage can overcome such limitations, the integration of high-resolution night...

The concept of green and low-carbon development is integrated into territorial spatial planning and district control research. It is one of the systematic policy tools for emission reduction and carbon sequestration, greatly contributing to achieving the double carbon goal. This paper presents a method for measuring the carbon emissions of urban te...

With the deepening of the era's informatization and technological advancement, the world has been enveloped by the realm of big data and greatly influenced by it. Among them, "social media" has become a particularly active component, playing a crucial role in various industries and undergoing significant expansion of its functions. This paper takes...

INTRODUCTION: The shopping street has become the center of economic activities in the city. It is the most popular place in the city, the soul of the shopping street, the reflection of history, culture, folklore, geographical features, and even the city. With the rapid development of the commercial environment, the landscape sculpture on the shoppi...

Exome and genome sequencing (ES/GS) in genetic medicine and research leads to discovering genomic secondary findings (SFs) unrelated to the purpose of the primary test. There is a lack of agreement to return the SF results for individuals undergoing the test. The aim of this study is to investigate the frequency of actionable secondary findings usi...

This paper investigates Karelian language visibility on Twitter and describes the first corresponding data collection using language-related keywords and hashtags. In total, 2626 entries written fully or partially in Livvi, South and Viena Karelian were scraped with Postman API. The visibility of Karelian on Twitter has been considerably increasing...

With the emergence of the big data era, the need for sampling methods that select samples based on the order of the observed units is felt more than ever. In order to meet this necessity, a new sequential unequal probability sampling method is proposed. The decision to select or not each unit is made based on the order in which the units appear. A...

In view of the empirical problem of introducing machine learning into stock price prediction and the unique condition of Chinese stock market represented by the limitation of rise and fall, In our research, we take CSI300 component stock as samples, using BP neural network to predict stock price, introduce the factor representing the Piece Limit Sy...

O presente artigo buscou mapear o estado atual das pesquisas sobre Cidades Inteligentes (CI) e Destinos Turísticos Inteligentes (DTI), a fim de verificar similaridades e ou dissonâncias que forneçam subsídios para refletir a estrutura teórica dos campos, das agendas de pesquisa vigentes e de possíveis lacunas teórico-metodológicas. Para tanto, foi...

INTRODUCTION: This project intends to study the mining method of FP-growth frequent items in 3Dmax big data under the Hadoop framework and combined with the Map Reduce development model. Firstly, the transaction database is selected according to the frequency of each transaction and the corresponding projection library is generated. Then the obtain...

Zusammenfassung Am 7.6.2023 fand an der Ruhr-Universität Bochum (RUB) eine vom Institut für Sozial- und Gesundheitsrecht (ISGR) ausgerichtete Abschlussveranstaltung zum dort angesiedelten juristisch-medizinischen Forschungsprojekt ,,Disease Interception als Chance und Herausforderung – Eine juristische Untersuchung unter besonderer Berücksichtigung...

Obstructive sleep apnea (OSA) is associated with multiple chronic comorbidities with treatments including continuous positive airway pressure (CPAP), upper airway surgery (UAS), and hypoglossal nerve stimulation (HNS). Given the complexity of the condition and multiple treatment options, there is an ongoing debate to determine the best management....

Objective To determine the overall and procedure-specific incidence of surgical site infections (SSI) caused by Staphylococcus aureus (S. aureus) as well as risk factors for such across all surgical disciplines in Europe. Methods This is a retrospective cohort of patients with surgical procedures performed at 14 European centres in 2016, with a ne...

水稻 (Oryza sativa L.) 是主要的粮食作物，也是单子叶植物研究的模式植物。面对日益严峻的环境和人口压力，培育高产、优质、环境适性强的水稻品种是解决当前粮食安全问题的有效途径。随着多组学技术的快速发展，积累了海量的水稻遗传育种相关的数据。生物信息数据库和在线分析工具是存储这些数据的载体，用来整合、可视化和共享数据，并为数据的深入挖掘和利用提供工具，从而为育种决策提供数据支撑。本综述系统梳理了近二十年来开发的水稻生物信息数据库和在线分析工具，并基于内置数据集和功能对它们进行了分类和总结。最后，讨论了现有的水稻生物信息数据库和在线分析工具的问题与不足，并对它们在大数据和人工智能时代的发展方向进行了展望。 Rice (Oryza sativa L.) is both a major...

Objectives To aid etiology and treatment research of the very heterogeneous rheumatoid arthritis (RA) population, we aimed to identify phenotypically distinct RA subsets using baseline clinical data. Method We collected baseline numerical- (hematology work-up & age) and categorical variables (serology, joint location & sex) from the Electronic Hea...

Globally, with the advent of big data, there is a pressing need to assess its effect on the efficacy of accounting practices in harnessing the potential of this vast amount of data. This study sought to evaluate the effect of big data on the efficacy of accounting practice in Nigeria. This study employed a survey research design by using a well-str...