Rashed Salem
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Upgraded Very Fast Decision Tree: Energy Conservative Algorithm for Data Stream Classification Open
Traditional machine learning (ML) techniques model knowledge using static datasets. With the increased use of the Internet in today's digital world, a massive amount of data is generated at an accelerated rate that must be handled. This da…
View article: Load Balancing Based on Multi-Agent Framework to Enhance Cloud燛nvironment
Load Balancing Based on Multi-Agent Framework to Enhance Cloud燛nvironment Open
According to the advances in users’ service requirements, physical hardware accessibility, and speed of resource delivery, Cloud Computing (CC) is an essential technology to be used in many fields. Moreover, the Internet of Things (IoT) is…
View article: Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques
Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques Open
Recently, artificial intelligence (AI) domain increased to contain finance, education, health, mining, and education. Artificial intelligence controls the performance of systems that use new technologies, especially in the education enviro…
View article: A Proposed Deep Learning based Framework for Arabic Text Classification
A Proposed Deep Learning based Framework for Arabic Text Classification Open
Deep learning has become one of the crucial trends in the modern era due to the huge amount of data that has become available. This paper aims to investigate and improve a generic framework for Arabic Text Classification (ATC) with differe…
Frequent Pattern Mining over Streaming Data: From models to research challenges Open
Research in frequent pattern mining from streaming data becomes a pioneer in the field of information systems.The data stream is a continuous flow of data generated from different sources.Extracting frequent patterns from streaming data ra…
View article: Enhancing the e-learning system based on a novel tasks’ classification load-balancing algorithm
Enhancing the e-learning system based on a novel tasks’ classification load-balancing algorithm Open
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 …
Fast Local Flow-based Method using Parallel Multi-core CPUs Architecture Open
Large graphs are available in everywhere such as social networks, web link analysis, and computer networks.Traditional methods of clustering are not suitable to tackle the problem of clustering large graphs because the computation is very …
A Swarm Intelligence-based Approach for Dynamic Data Replication in a Cloud Environment Open
In recent years, there has been increasing interest in cloud computing research, especially replication strategies and their applications.When the number of replicas is increased and placed in different places, maintaining the system's dat…
A Novel Intelligent Approach for Dynamic Data Replication in Cloud Environment Open
In recent years, cloud computing research, specifically data replication techniques and their applications, has been growing. If the replicas number is raised and put in multiple positions, it will be expensive to maintain the data usabili…
An Artificial Bee Colony Algorithm for Data Replication Optimization in Cloud Environments Open
Cloud computing is a modern technology for dealing with large-scale data. The Cloud has been used to process the selection and placement of replications on a large scale. Most previous studies concerning replication used mathematical model…
Parallel graph-based anomaly detection technique for sequential data Open
In data mining, outlier detection is applied in different domains. It has very large applications such as energy consumption analysis, forecasting hurricanes in meteorological data, fraud and intrusion detection, event detection and system…
Proposed framework for planning software releases using fuzzy rule‐based system Open
Software release planning is one of the complicated areas of software engineering. Planning a software release includes assigning requirements to sequence of releases in the most beneficial way within the limited effort, budget, and time a…
A Cloud-Based Data Integration Framework for E-Government Service Open
Today, every government is seeking to offer the best services to its citizens to improve competence, translucence, responsibility, access, and other services at low cost.Most governments are using communication technology and Web-based app…
A Dynamic Stakeholder Classification and Prioritization Based on Hybrid Rough-fuzzy Method Open
Background: Stakeholder prioritization is one of the most significant areas of software engineering.Although several stakeholder classification models have been proposed in the literature, they have many limitations that have to be conside…
Fixing rules for data cleaning based on conditional functional dependency Open
Most existing databases suffer from data inconsistencies. Enhancing data quality efforts are necessary to resolve this issue. In this paper, two techniques are proposed for mining accurate conditional functional dependencies rules from suc…
Semantic-based Approach for Solving the Heterogeneity of Clinical Data Open
Clinical records contain massive heterogeneity number of data types, generally written in free-note without a linguistic standard. Other forms of medical data include medical images with/without metadata (e.g., CT, MRI, radiology, etc.), a…
Scalable Data-Oriented Replication with Flexible Consistency in Real-Time Data Systems Open
Scalability is an increasingly important target for distributed real-time databases. Replication is widely applied to improve the scalability and availability of data. With full replication, database systems cannot scale well, since all up…