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A New Model in Arabic Text Classification Using BPSO/REP-Tree

Naji, Hamza A.; Alhanjouri, Mohammed A.; Ashour, Wesam M. (الجامعة الإسلامية - غزة, 2017)

Specifying an address or placing a specific classification to a page of text is an easy process somewhat, but what if there were many of these pages needed to reach a huge amount of documents. The process becomes difficult ...

Combining IWC and PSO to Enhance Data Clustering

Skaik, Ahmed Z.; Ashour, Wesam M. (الجامعة الإسلامية - غزة, 2017)

In this paper we propose a clustering method based on combination of the Particle Swarm Optimization (PSO) and the inverse weighted clustering algorithm IWC, It is shown how PSO can be used to find the centroids of a user ...

Clustering large-scale data based on modified affinity propagation algorithm

Serdah, Ahmed M; Ashour, Wesam M. (De Gruyter Open, 2016)

Traditional clustering algorithms are no longer suitable for use in data mining applications that make use of large-scale data. There have been many large-scale data clustering algorithms proposed in recent years, but most ...

Text Classification for Arabic Words Using Rep-Tree

Naji, Hamza A.; Ashour, Wesam M. (103-110, 2016)

The amount of text data mining in the world and in our life seems ever increasing and there’s no end to it. The concept (Text Data Mining) defined as the process of deriving high-quality information from text. It has been ...

Clustering Algorithms in Echo State Networks

Ashour, Wesam M.; Abu-Issa, Abdallatif S; Hellwich, Olaf (2016)

In this work, we develop a new method of setting the input to reservoir and reservoir to reservoir weights in echo state machines. We use a clustering technique which we have previously developed as a pre-processing stage ...

Infected Part Detection based on Affinity Propagation Clustering

Abusulaiman, Naser S. A.; Ashour, Wesam M. (2016)

Manual identification of defected objects consumes time and effort. These leading researchers try to find out an automatic infected objects detection systems to reduce these denigrate issues, which affects trade business ...

Traditional clustering algorithms are no longer suitable for use in data mining applications that make use of large-scale data. There have been many large-scale data clustering …

Serdah, Ahmed M; Ashour, Wesam M. (2016)

The purpose of this study was to generate more concise rule extraction from the Recursive-Rule Extraction (Re-RX) algorithm by replacing the C4. 5 program currently employed in Re-RX with the J48graft algorithm. Experiments ...

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A New Model in Arabic Text Classification Using BPSO/REP-Tree

Combining IWC and PSO to Enhance Data Clustering

Clustering large-scale data based on modified affinity propagation algorithm

Text Classification for Arabic Words Using Rep-Tree

Clustering Algorithms in Echo State Networks

Infected Part Detection based on Affinity Propagation Clustering

Traditional clustering algorithms are no longer suitable for use in data mining applications that make use of large-scale data. There have been many large-scale data clustering …

Optimization of traveling salesman problem using affinity propagation clustering and genetic algorithm

Clustering Using Optimized Gaussian Kernel Function

Design and Implementation of a Selective Continuous Test Runner

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A New Model in Arabic Text Classification Using BPSO/REP-Tree

Combining IWC and PSO to Enhance Data Clustering

Clustering large-scale data based on modified affinity propagation algorithm

Text Classification for Arabic Words Using Rep-Tree

Clustering Algorithms in Echo State Networks

Infected Part Detection based on Affinity Propagation Clustering

Traditional clustering algorithms are no longer suitable for use in data mining applications that make use of large-scale data. There have been many large-scale data clustering …

Optimization of traveling salesman problem using affinity propagation clustering and genetic algorithm

Clustering Using Optimized Gaussian Kernel Function

Design and Implementation of a Selective Continuous Test Runner