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An intelligent approach for improving feature reduction \ Basma Mostafa Abdelghany ; Supervised Mohammed H. Rasmy , Mohammed Elbeltagy , Mohamed Saleh

By: Contributor(s): Material type: TextLanguage: English Publication details: Cairo : Basma Mostafa Abdelghany , 2013Description: 89 Leaves : facsimiles ; 30cmOther title:
  • منهج ذكى لتحسين اختزال الخصائص [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support Summary: The proliferation of `Big Data` [2] in real- world applications makes efficient data mining challenging to achieve . Big data involve problems with high dimensionality and a large number of instances that become difficult to process using traditional data mining tools . Consequently there's a growing need for improving existing dimenionality reduction techniques
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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.Ba.I (Browse shelf(Opens below)) Not for loan 01010110062814000
CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.02.M.Sc.2013.Ba.I (Browse shelf(Opens below)) 62814.CD Not for loan 01020110062814000

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

The proliferation of `Big Data` [2] in real- world applications makes efficient data mining challenging to achieve . Big data involve problems with high dimensionality and a large number of instances that become difficult to process using traditional data mining tools . Consequently there's a growing need for improving existing dimenionality reduction techniques

Issued also as CD

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