Now showing items 1-20 of 35

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      A comparative study on Arabic text classification

      El-Halees, Alaa M. (2008)
      This paper focuses on Automatic Arabic classifications. Arabic language is highly inflectional and derivational language which makes text mining a complex task. In classifying Arabic text, there are many published experimental ...
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      AI-Roby, Alaa M. El-Halees, Data Mining Techniques for Wind Speed Analysis”

      Marwa, F; El-Halees, Alaa M. (2010)
      Weather Data Mining is a form of Data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. In this paper ...
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      An Efficient Adaptive Load Balancing Algorithm for Cloud Computing Under Bursty Workloads

      Issawi, M. Radi S. F.; El-Halees, Alaa M. (etasr, 2015)
      Cloud computing is a recent, emerging technology in the IT industry. It is an evolution of previous models such as grid computing. It enables a wide range of users to access a large sharing pool of resources over the ...
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      Arabic opinion mining using combined classification approach

      El-Halees, Alaa M. (Naif Arab University for Security Sciences, 2011)
      In this paper, we present a combined approach that automatically extracts opinions from Arabic documents. Most research efforts in the area of opinion mining deal with English texts and little work with Arabic text. Unlike ...
    • Arabic Opinion Mining Using Distributed Representations of Documents

      El-Halees, Alaa M. (IEEE, 2017)
      Nowadays, many people express their opinions using user generated contains such as social media, forums and reviews. Opinion mining is a field of study that extracts sentiments from user generated contents. Because of the ...
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      Arabic Text Classification Using Maximum Entropy

      El-Halees, Alaa M. (الجامعة الإسلامية - غزة, 2007)
      In organizations, a large amount of information exists in text documents. Therefore, it is important to use text mining to discover knowledge from these unstructured data. Automatic text classification considered as one ...
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      Arabic Text Genre Classification

      El-Halees, Alaa M. (الجامعة الإسلامية - غزة, 2017)
      Text genre is a type of written text. Arabic text genre classification predicts genre of specific text document written in Arabic independent of its topic. In this paper, an approach was proposed that takes an Arabic ...
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      Automated recognition of urinary microscopic solid particles

      Almadhoun, Mohamed D; El-Halees, Alaa M. (Taylor & Francis, 2014)
      Urine analysis reveals the presence of many problems and diseases in the human body. Manual microscopic urine analysis is time-consuming, subjective to human observation and causes mistakes. Computer aided automatic ...
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      Automated Usability Evaluation on University Websites using Data Mining Methods

      El-Halees, Alaa M.; Abu-Zaid, Ibrahim M (2017)
      There are increasing interests in designing and developing effective and usable websites to deliver high degree of quality. A university website is important to its users since it delivers to them information and services ...
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      Blood tumor prediction using data mining techniques

      El-Halees, Alaa M.; Shurrab, Asem H (Academy and Industry Research Collaboration Center (AIRCC), 2017)
      Healthcare systems generate a huge data collected from medical tests. Data mining is the computing process of discovering patterns in large data sets such as medical examinations. Blood diseases are not an exception; there ...
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      Breast Cancer Severity Degree Predication Using Data Mining Techniques in the Gaza Strip

      Tafish, Mohammed H. H.; El-Halees, Alaa M. (Institute of Electrical and Electronics Engineers (IEEE), 2018-10)
      Data mining has become a fundamental methodology for computing applications in the domain area of medicine. Data mining is defined as the procedure that finds the valuable data from raw information sets by investigating ...
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      Breast Cancer Severity Degree Predication Using Deep Learning Techniques

      El-Halees, Alaa; Tafish, Mohammed (ScopeMed Publishing, 2020-03-01)
      Breast cancer is one of the most common types of cancer most often affecting women. It is a leading cause of cancer death in less developed countries. Thus, it is important to characterize the severity of the disease as ...
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      Classifying Muti-Class Imbalance Data

      Al-Roby, Marwa F; El-Halees, Alaa M. (2013)
      Class imbalance is one of the challenging problems for data mining and machine learning techniques. The data in real-world applications often has imbalanced class distribution. That is occur when most examples are belong ...
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      Data mining in higher education: university student dropout case study

      Abu-Oda, Ghadeer S; El-Halees, Alaa M. (Academy & Industry Research Collaboration Center (AIRCC), 2015)
      In this paper, we apply different data mining approaches for the purpose of examining and predicting students’ dropouts through their university programs. For the subject of the study we select a total of 1290 records of ...
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      Data Mining Techniques for Wind Speed Analysis

      Al-Roby, Marwa F; El-Halees, Alaa M. (2011)
      Weather Data Mining is a form of Data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. In this paper ...
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      Different Mining Techniques for Health Care Data Case Study of Urine Analysis Test

      El-Halees, Alaa M.; Almadhoun, Mohamed D (OMICS Publishing Group, 2017)
      ABSTRACT person performing the test dips the strip into the urine), and microscopic evaluation (measures presence of bacteria and white
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      Evaluating Software Quality Assurance Practices In Gaza Strip

      El-Halees, Alaa M.; Alnajjar, Mohammed (الجامعة الإسلامية - غزة, 2014)
      It is important to understand the degree developers in Gaza Strip perform standard Software Quality Assurance (SQA) activities. This would allow customers of the software to better understand the quality risks, if there ...
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      Feature-Based Opinion Summarization for Arabic Reviews

      El-Halees, Alaa M.; Salah, Doaa (Institute of Electrical and Electronics Engineers (IEEE), 2018-11)
      Opinion mining applications work with a large number of opinion holders. This means a summary of opinions is important so we can easily interpret holders' opinions. The aim of this paper is to provide a feature-based ...
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      Filtering Spam E-Mail from Mixed Arabic and English Messages: A Comparison of Machine Learning Techniques.

      El-Halees, Alaa M. (2009)
      Spam is one of the main problems in emails communications. As the volume of non-english language spam increases, little work is done in this area. For example, in Arab world users receive spam written mostly in arabic, ...
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      Hybrid Load Balancing Algorithm in Heterogeneous Cloud Environment

      Younis, Mohammed Radi Hafiz Jabr; El-Halees, Alaa M. (Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., 2015)
      Cloud computing is a heterogeneous environment offers a rapidly and on-demand wide range of services to the end users.It's a new solution and strategy for high performance computing where, it achieve high availability, ...