000			01955cam a2200337 a 4500
003			EG-GiCUC
005			20250223031405.0
008			160109s2015 ua d f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.20.03.M.Sc.2015.Su.D
100	0		_aSura Ibrahim Mohammed Ali
245	1	2	_aA dynamic index approach for big data / _cSura Ibrahim Mohammed Ali ; Supervised Fatma A. Omara , Hussein M. Sharaf
246	1	5	_aنهج الفهرس الدينامكى للبيانات الكبيرة
260			_aCairo : _bSura Ibrahim Mohammed Ali , _c2015
300			_a95 Leaves : _bcharts ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520			_aThe 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
530			_aIssued also as CD
653		4	_aBig data
653		4	_aComputer science
653		4	_aDynamic index approach
700	0		_aFatma Abdelstaar Omara , _eSupervisor
700	0		_aHussein Mohamed Sharaf , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSamia _eCataloger
942			_2ddc _cTH
999			_c54329 _d54329