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Intelligent classifier for Arabic text mining / Ashraf Ali Mohamed Mohamed ; Supervised Ibrahim Farag , Ahmed Hussain Kamal

By: Contributor(s): Material type: TextTextLanguage: eng Publication details: Cairo : Ashraf Ali Mohamed Mohamed , 2009Description: 86Leaves : charts ; 30cmOther title:
  • مصنف ذكى لعملية التنقيب فى النصوص العربية [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: With the exponential growth of unstructured Arabic text data in the web the amount of text information is also increasing exponentially. Text categorization has become the key technology in organizing and processing this flood of information. Recently a numerous machine learning approaches have been introduced to deal with the text classification problem such as Support Vector Machine (SVM) and Centroid Classifier (CC)
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.Ph.D.2009.As.I (Browse shelf(Opens below)) Not for loan 01010110051487000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.Ph.D.2009.As.I (Browse shelf(Opens below)) 51487.CD Not for loan 01020110051487000

Thesis (Ph.D.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

With the exponential growth of unstructured Arabic text data in the web the amount of text information is also increasing exponentially. Text categorization has become the key technology in organizing and processing this flood of information. Recently a numerous machine learning approaches have been introduced to deal with the text classification problem such as Support Vector Machine (SVM) and Centroid Classifier (CC)

Issued also as CD

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