جسرٌ نحو المعرفة
Skip Navigation Links الرئيسية : التفاصيل
             
الإسم : د.عبد الرؤوف إشتيوي

الرتبة العلمية: أستاذ مساعد

المسمى الوظيفي: عضو هيئة تدريسية

المكتب 7304       الرقم الفرعي 7304

بريد الكتروني: aishtaiwi@uop.edu.jo

التخصص: علم الحاسوب

جامعة التخرج: Griffith University

المؤهل العلمي

    المؤهل العلمي

    الجامعة

    البلد

    سنة الحصول على المؤهل

    الماجستير
    Griffith University
    استراليا
    2001
    الدكتوراه
    Griffith University
    استراليا
    2007



  • Journal Paper





      A. HajYasein an and A. Ishtaiwi, " Survey on Privacy Preserving in Data Mining Tasks " , "albalqa journal for research",Vol.,No., , Amman, jordan, 01/01/2009




      :الملخص
      Abstract—A key characteristic in Dynamic Local Search Techniques (DLS) is the use of weights while searching for a solution to a Satisfiability problems (SAT). Thus, weights handling plays a major role in the over all performance of a given DLS technique. Unfortunately, there are no general appr Download




      :الملخص
      Associative classification (AC) is an integration between association rules and classification tasks that aim to predict unseen samples. Several studies indicate that the AC algorithms produce more accurate results than classical data mining algorithms. However, current AC algorithms inherit from as




      :الملخص
      Stochastic Local Search (SLS) algorithms are of great importance to many fields of Computer Sciences and Artificial Intelligence. This is due to their efficient performance when applied for solving randomly generated satisfiability problems (SAT). Our focus in the current work is on one of the SLS d


  • Conference paper





      Ishtaiwi, A., Thornt, " Neighbourhood Clause Weight Redistribution in Local Search for SAT. " , "Principles and Practice of Constraint Programming - CP 2005, 11th International Conference",Vol.,No., Springer, Sitges, Spain, 03/16/2005



      Pham, D. N., Thornto, " SAT-based versus CSP-based Constraint Weighting for Satisfiability. " , "Proceedings of the 20th National Conference on Artificial Intelligence, AAAI 2005",Vol.,No., AAAI Press / The MIT Press 2005, Pittsburgh, Pennsylvania, USA, 03/16/2005



      Ishtaiwi, A., Thornt, " Adaptive Clause Weight Redistribution. " , "",Vol.,No., , , 04/15/2006



      Ishtaiwi, A., Thornt, " Weight Redistribution for Unweighted MAX-SAT " , "AI 2007: Advances in Artificial Intelligence, 20th Australian Joint Conference on Artificial Intelligence.",Vol.,No., Springer, Gold Coast, Australia, 09/04/2007



      :الملخص
      Abstract—Since 1991, tries were made to enhance the stochastic local search techniques (SLS) in many different ways. Some researchers turned their focus on studying the structure of the satisfiability problems to better understand their complexity in order to come up with better algorithms that Download




      :الملخص
      In recent years, dynamic clause weighting stochastic local search algorithms have emerged as the-state-of-the-art for solving satisfiability problems. In our study we experimentally investigated the weights behaviors and movements during searching for satisfiability. Firstly, We show that, second le




      :الملخص
      This article presents the development of a computational framework used for the extraction and recovery of lessons learned that have been extracted from academic and research related social networks; the lexical analysis applied is focused to Spanish language. The algorithm executes the lexical analysis using Natural Language Programming (NLP) techniques. The final result of the process shows that the use of this type of lexical and semantic analysis is a key component in tasks of social analysis, text mining and semantic enrichment.
  • التقويم
    <كانون الأول 2018>
    السبتالاحدالاثنينالثلاثاءالاربعاءالخميسالجمعة
    1234567
    891011121314
    15161718192021
    22232425262728
    293031