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Migrating association rules mining algorithms to cloud computing / Othman Abdo Aly Yahya ; Supervised Osman Hegazy , Ehab Hassanein

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Othman Abdo Aly Yahya , 2013Description: 75 Leaves : charts , facsimiles ; 30cmOther title:
  • ترحيل خوارزميات التنقيب عن القواعد المترابطة الى الحوسبة السحابية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information System Summary: Association rules mining is one of the most important areas of data mining its task is to find all subsets of items which frequently occur and the relationship between them by using two main steps: finding frequent itemsets (core step) and generating association rule (straightforward step) . Apriori algorithm is the most established algorthm for finding frequent itemsets from a transactional dataset
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2013.Ot.M (Browse shelf(Opens below)) Not for loan 01010110062108000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2013.Ot.M (Browse shelf(Opens below)) 62108.CD Not for loan 01020110062108000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information System

Association rules mining is one of the most important areas of data mining its task is to find all subsets of items which frequently occur and the relationship between them by using two main steps: finding frequent itemsets (core step) and generating association rule (straightforward step) . Apriori algorithm is the most established algorthm for finding frequent itemsets from a transactional dataset

Issued also as CD

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