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A dynamic index approach for big data / Sura Ibrahim Mohammed Ali ; Supervised Fatma A. Omara , Hussein M. Sharaf

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Sura Ibrahim Mohammed Ali , 2015Description: 95 Leaves : charts ; 30cmOther title:
  • نهج الفهرس الدينامكى للبيانات الكبيرة [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: The growing need for information retrieval (IR) from big data requires more efficient techniques for data indexing. According to the work in this thesis, a dynamic order multifield index (DOMI) has been introduced and implemented. The proposed indexing structure allows dynamic rather than sequential ordering of fields. Hence, the proposed DOMI allows answering queries that involve composite - fields, as well as, queries that involve a single field. The DOMI is based on a collection of radix trees in addition to single hash table. The use of a hash table allows random access of any sub - radix tree (RT) without traversing the trees at the upper layers. In addition, the use of radix trees decreases the space consumption by storing common prefix values only once
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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 Cai01.20.03.M.Sc.2015.Su.D (Browse shelf(Opens below)) Not for loan 01010110067485000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2015.Su.D (Browse shelf(Opens below)) 67485.CD Not for loan 01020110067485000

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

The growing need for information retrieval (IR) from big data requires more efficient techniques for data indexing. According to the work in this thesis, a dynamic order multifield index (DOMI) has been introduced and implemented. The proposed indexing structure allows dynamic rather than sequential ordering of fields. Hence, the proposed DOMI allows answering queries that involve composite - fields, as well as, queries that involve a single field. The DOMI is based on a collection of radix trees in addition to single hash table. The use of a hash table allows random access of any sub - radix tree (RT) without traversing the trees at the upper layers. In addition, the use of radix trees decreases the space consumption by storing common prefix values only once

Issued also as CD

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