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An intelligent algorithm for enhancing clssification process using association rules mining / Amr Adly Omar Aly ; Supervised Mohamed Rasmy , Omar Soliman

By: Contributor(s): Material type: TextLanguage: English Publication details: Cairo : Amr Adly Omar Aly , 2013Description: 115 Leaves : charts , facsimiles ; 30cmOther title:
  • خوارزمية ذكية لتحسين عملية التصنيف باستخدام التنقيب فى قواعد الارتباط [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information- Department of Operation Research and Decision Support Summary: Data mining (DM) and Decision Support Systems (DSS) are twe disciplines aimed at solving difficult practical problems that decision support tends to rely on knowledge acquired from experts, while data mining attempts to extract it from data. The integration of DM and DSS may improve the quality of problem-solving methods, processes, and achieved objectives
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Item type Current library Home library Call number Copy number Status Barcode
Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.02.M.Sc.2013.Am.I (Browse shelf(Opens below)) Not for loan 01010110061612000
CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.02.M.Sc.2013.Am.I (Browse shelf(Opens below)) 61612.CD Not for loan 01020110061612000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information- Department of Operation Research and Decision Support

Data mining (DM) and Decision Support Systems (DSS) are twe disciplines aimed at solving difficult practical problems that decision support tends to rely on knowledge acquired from experts, while data mining attempts to extract it from data. The integration of DM and DSS may improve the quality of problem-solving methods, processes, and achieved objectives

Issued also as CD

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