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Processing queries using mapreduce / Wafaa Moamen Ali Habib ; Supervised Mohamed E. Elsharkawi , Hoda M. O. Mokhtar

By: Contributor(s): Material type: TextLanguage: English Publication details: Cairo : Wafaa Moamen Ali Habib , 2014Description: 80 Leaves ; 30cmOther title:
  • تشغيل الاستفسارات بإستخدام العلاقات المختصرة [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 Information System Summary: Quantication queries are an important type of queries that are used in many applications. In general, quantification queries are classified into two main categories: universal, and existential quantification queries. Both types are crucial in retrieving the results of many queries. Both universal and existential queries have gained their importance in querying traditional databases that are usually implemented on a single machine. Universal quantification is not supported directly in most database systems despite the fact that it adds significant power to a systems query processing and inference capabilities, in particular for the analysis of many-to-many relationships and of set-valued attributes. Although this is a logical feature, relational algebra does not have a direct counterpart for it, relying on rewriting it using a combination of existential quanti er and negation. However, such translation is not always possible, and even when it is, it may lead to non e cient implementations
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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 Cai01.20.04.M.Sc.2014.Wa.P (Browse shelf(Opens below)) Not for loan 01010110064436000
CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.04.M.Sc.2014.Wa.P (Browse shelf(Opens below)) 64436.CD Not for loan 01020110064436000

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

Quantication queries are an important type of queries that are used in many applications. In general, quantification queries are classified into two main categories: universal, and existential quantification queries. Both types are crucial in retrieving the results of many queries. Both universal and existential queries have gained their importance in querying traditional databases that are usually implemented on a single machine. Universal quantification is not supported directly in most database systems despite the fact that it adds significant power to a systems query processing and inference capabilities, in particular for the analysis of many-to-many relationships and of set-valued attributes. Although this is a logical feature, relational algebra does not have a direct counterpart for it, relying on rewriting it using a combination of existential quanti er and negation. However, such translation is not always possible, and even when it is, it may lead to non e cient implementations

Issued also as CD

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