Amira M. Idrees

Fayoum University · Department of Information Systems

Ontologies extraction is the cornerstone for a meaningful knowledge representation. Ontologies represent the semantic relations repository in a readable format with a clear representation of the domain knowledge. This made the automated ontologies construction a promising research objective with a direct and clear impact in many related fields, inc...

Construction companies need to improve the accuracy of their projects' budgeting to achieve the targeted profit. Site overheads are the expenses related to a project but are not allocated to a specific work package. The main objective of this research is to develop a neural network model for commercial projects to predict and estimate project site...

Engaging personalization in the education process is considered one of the success factors for raising the educational process quality by altering the educational institutions’ vision for gaining more flexibility while attaining the institution’s objectives. It is a fact that the situation of the COVID-19 pandemic is one of the main reasons that fo...

Distributed Denial of services is one of the most dangerously planned attacks in cloud computing, resulting in huge losses of data and money for both the cloud services providers and the users of these services. Many efforts have been performed to help protect the cloud from these attacks using machine learning techniques. This study focuses on enh...

This research proposes a multi-level predictive algorithm based on the k-means algorithm with multiple adaptations. The research highlights the main limitations of k-means and proposes a set of adaptations that enhance the clustering task results in accuracy with minimal centroid distance error. The study proposes three enhancements in selecting th...

One of the most prosperous domains that Data mining accomplished a great progress is Food Security and safety. Some of Data mining techniques studies applied several machine learning algorithms to enhance and traceability of food supply chain safety procedures and some of them applying machine learning methodologies with several feature selection m...

In this research, a set of data mining techniques are applied to target to balance between the industry requirement and user satisfaction. The proposed approach aims at exploring the most significant attributes for the industry services’ evaluation. The exploration goal ensures a double-sided benefit for both the industry and the user. From one per...

Social networks are currently considered the universally superior information source for people as well as organizations. This source is considered as one of the main components featuring an immense variety of successful applications that support different contexts. During disasters, social networks have been vital actors in information disseminati...

Every successful business aims to know how customers feel about its brands, services, and products. People freely express their views, ideas, sentiments, and opinions on social media for their day-to-day activities, for product reviews, for surveys, and even for their public opinions. This process provides a fortune of valuable resources about the...

Distributed Denial of services (DDOS) attacks are one of the most famous attacks that affect the availability of a service making it a serious problem especially when it comes to cloud computing as it is becoming a bigger part of our lives. Throughout this paper, we first discussed the DDOS types, categories, and approaches in terms of the targeted...

Text mining has been a vital area that has been linked to some fields of research such as machine learning, data analysis and gathering, and information recovery. To extract knowledge and information, Natural Language Processing (NLP) was used alternative techniques. Text mining analyses unstructured data to provide critical data and information pl...

One main potential objective for financial corporations is to retain long-term customers. Configuring customer knowledge is no doubt mandatory to lower the risk level. Loans and credit cards granting are two services that are offered by the banking corporations which can be categorized as high-risk services. Therefore, it is highly recommended for...

Text mining has become a vital zone that has been attached to some examined ranges such as computational etymology, data mining, and information recovery (IR). Almost all people today use social networking activities in their daily interactions with no sorting. This can result in a range of inconsistencies, including lexical, semantic, linguistic,...

A feature is a single measurable criterion to an observation of a process. While knowledge discovery techniques successfully contribute to many fields, however, the extensive required data processing could hinder the performance of these techniques. One of the main issues in processing data is the dimensionality of the data. Therefore, focusing on...

A feature is a single measurable criterion to an observation of a process. While knowledge discovery techniques successfully contribute to many fields, however, the extensive required data processing could hinder the performance of these techniques. One of the main issues in processing data is the dimensionality of the data. Therefore, focusing on...

In the educational field, the system performance, as well as the stakeholders’ satisfaction, are considered a bottleneck in the e-learning system due to the high number of users who are represented in the educational system’s stakeholders including instructors and students. On the other hand, successful resource utilization in cloud systems is one...

There is no doubt that this age is the age of data and technology. Moreover, there is tremendous development in all fields. The personalized material is a good approach in the different fields. It provides a fit material that matches the styles of readers. It supports readers in various reading domains. This research paper aims to support students...

Nowadays, firms are strongly racing to raise their competitive level in the international market. As this market has a natural connection, therefore, one of the vital roads for competing is exploring the users’ behaviour which continuously changes over time. This research proposes an intelligent information retrieval-based framework which applies a...

In the past few years, web documents, blogs, and reviews have played an important role in many fields as organizations always aim to find consumer or public opinions about their products and services. On the other hand, individual consumers also seek the opinions or emotions of existing users of a certain product before purchasing it. This method i...

Every successful business aims to know how customers feel about its brands, services, and products. People freely express their views, ideas, sentiments, and opinions on social media for their day-to-day activities, for product reviews, for surveys, and even for their public opinions. This process provides a fortune of valuable resources about the...

Due to the changing dynamics of the business environment, organizations need to redesign or reengineer their business processes in order to provide services with the lowest cost and shortest response time while increasing quality. Thence, Business Process Re-engineering (BPR) provides a roadmap to achieve operational goals that leads to enhance fle...

Due to the changing dynamics of the business environment, organizations need to redesign or reengineer their business processes in order to provide services with the lowest cost and shortest response time while increasing quality. Thence, Business Process Re-engineering (BPR) provides a roadmap to achieve operational goals that leads to enhance fle...

Information Technology proved its effectiveness in all industry fields, taking the competition to unexpectedly high levels. Identifying the essential parameters is vital to success. In different fields, business processes monitoring is also essential. In the food industry, for example, food hazards may occur in any stage of generating food, from ag...

Personality mining is a vital approach which is currently been on focus for retaining customers as well as extending the customers' segment. Data in its varied forms such as personal profile, social networks data, as well as transactional data could be considered as key for the success of industries. Therefore, successful data analysis by applying...

This study proposes an approach for students' learning style personalization. The study presents both the importance and the theoretical basis of learning styles. One of these perspectives is how self-reported learning style inventories are controversial, while others view learning styles as strategies that can be adjusted to specific tasks and con...

One of the current essential methods for communication is electronic email (e-mail). It is currently considered the official method for different business activities such as conducting agreements, the setup of official meetings, and team collaboration. This continuous interest in e-mails as a communication channel has drawn the attention to the nee...

Evaluating Algorithms is one of the critical steps which should be strongly considered as this is the pillar of most of the decisions. This research proposes a novel method for accurate algorithms’ evaluation according to the metrics’ relationships and weight. The weight of the evaluation metrics is determined according to their invariance level. T...

Due to the changing dynamics of the business environment, organizations need to redesign or reengineer their business processes in order to provide services with the lowest cost and shortest response time while increasing quality. Thence, Business Process Re-engineering (BPR) provides a roadmap to achieve operational goals that leads to enhance fle...

This research argues that providing the students with the same material in different methods that correspond to their skills would guarantee their satisfaction as well as their level of success. This research focuses on the vital exploration of the suitable student learning style with respect to the student skills, the type of material and the impa...

Data mining is one of the current vital fields for all types of data including spatial data. An example of useful extracted patterns from spatial data is to describe changes in metropolitan poverty rates based on city distances from major highways. Geospatial is a term that has recently been gaining in popularity; moreover, many applications on geo...

In the past few years, web documents, blogs, and reviews have played an important role in many fields as organizations always aim to find consumer or public opinions about their products and services. On the other hand, individual consumers also seek the opinions or emotions of existing users of a certain product before purchasing it. This method i...

Social networks are currently one of the main News' sources for most of their users. Moreover, News channels also consider social networks as main channels not only for spreading the news but also for measuring the feedback from their followers. Facebook Followers can comment or react to the news, which represents the follower's feedback about this...

Mining techniques proved to have a successful impact in different fields for many targets; one of these targets is to gain customers' satisfaction through enhancing the products' quality according to the voice of these customers. This research proposes a framework that is based on mining techniques and adopted Saaty method targeting to gain the cus...

Data mining is one of the vital techniques that could be applied in different fields such as medical, educational and industrial fields. Extracting patterns from spatial data is very useful to be used for discovering the trends in the data. However, analyzing spatial data is exhaustive due to its details as it is related to locations with a special...

Nowadays there is a global understanding for the importance of e-learning systems which has proved its applicability and advancement through the years especially in higher education sector. According to this increase in its importance, many educational organizations have applied e-learning process with focusing on the benefits to the student in app...

Data mining is one of the current vital fields for all types of data including spatial data. An example of useful extracted patterns from spatial data is to describe changes in metropolitan poverty rates based on city distances from major high ways. Geospatial is a term that has recently been gaining in popularity; moreover, many applications on ge...

This study presents a configurable approach for recommendations which determines the suitable recommendation method for each field based on the characteristics of its data, the method includes determining the suitable technique for selecting a representative sample of the provided data. Then selecting the suitable feature weighting measure to provi...

Now, the web pages contain opinions on almost anything, at review sites, forums, discussion groups, and blogs which called user generated content. They contain valuable information for different users such as persons or organizations, the processes of collecting, analyzing and classifying them to positive or negative opinions in addition to summari...

Background and Objective: Key performances indicators (KPIs) are an integral part of business intelligence systems as the choice of KPIs are critical to success. This study aimed to propose a solution to detect KPIs from historical organizational data using data mining algorithms and analyzes the relation between factors that will affect the perfor...

Key Performance Indicators (KPIs) allows gathering knowledge and exploring the best way to achieve organization goals. Many researchers have provided different ideas for determining KPI’s either manually, and semi-automatic, or automatic which is applied in different fields. This work concentrates on providing a survey of different approaches for e...

In this paper, we aim to propose an Expert System prototype for breast cancer detection. The proposed prototype is able to detect the existence of breast cancer of the patient using periodic mammographic examinations with identifying the stage of the disease based on the size of the cancerous tissues. A supporting tool has also been implemented for...

The massive growth of online information obliged the availability of a thorough research in the domain of automatic text summarization within the Natural Language Processing (NLP) community. To reach this goal, different approaches should be integrated and collaborated. One of these approaches is the classification od documents. Therefore, the aim...

The massive growth of online information obliged the availability of a thorough research in the domain of automatic text summarization within the Natural Language Processing (NLP) community. To reach this goal, different approaches should be integrated and collaborated. One of these approaches is the classification od documents. Therefore, the aim...

The growing of online information obliged the availability of a thorough research in the domain of automatic text summarization within the Natural Language Processing (NLP) community.The aim of this paper is to propose a novel approach for a language independent automatic summarization approach that combines three main approaches. The Rhetorical St...

This research is the first step in building an efficient Decision Support System (DSS) which employs Data Mining (DM) predictive, classification, clustering, and association rules techniques. This step considers finding groups of members in the dataset that are very different from each other, and whose members are very similar to each other, theref...

Knowledge Discovery in Databases (KDD) is a complex interactive and iterative process which involves many steps that must be done sequentially. Supporting the whole KDD process has enjoyed a great popularity in recent years, with advances in research. We however still lack of a generally accepted underlying framework and this hinders the further de...

Information Extraction from texts (IE) is one of the most promising areas of Knowledge Management (KM) applications including Knowledge Identification and Extraction. It can – for example - provide support in protocol analysis either in an automatic way (unsupervised extraction of information) or semi-automatic way (e.g. helping knowledge engineers...

The objective of this work is to develop an expert system for cucumber disorder diagnosis using non-monotonic reasoning to handle the situation when the system cannot reach a conclusion. One reason for this situation is when the information is incomplete. Another reason is when the domain knowledge itself is incomplete. Another reason is when the i...

A Proposed Approach for Emotion Lexicon Enrichment