000			03084nas|a2200409 a 4500
005			20260818094227.0
008			091112s2009 th uu|m rtt 0| a1eng d
035			_a.b12070385
099		9	_aAIT RSPR no.IM-09-01
100	1		_aRehman, Mariam
245	1	0	_aDuplicate record detection for database cleansing
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2009
300			_a45 p. : _bill.
490	1		_aResearch studies project report ; _vno. IM-09-01
500			_aA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering Information Management, School of Engineering and Technology
502			_aResearch Studies Project Report (M.Eng.) - Asian Institute of Technology, 2009
520			_aMany organizations collect large amounts of data to support their business and decision making processes. The data collected from various sources may have data quality problems in it. These kinds of issues become prominent when various databases are integrated. The integrated databases inherit the data quality problems that were present in the source database. The data in the integrated systems need to be cleaned for proper decision making. Cleansing of data is one of the most crucial steps. In this research, focus is on one of the major issue of data cleansing i.e. "duplicate record detection" which arises when the data is collected from various sources. As a result of this research study, comparison among standard duplicate detection algorithm, sorted neighborhood algorithm, duplicate elimination sorted neighborhood algorithm, and adaptive duplicate detection algorithm is provided. A prototype is also developed which shows that adaptive duplicate detection algorithm is the optimal solution for the problem of duplicate record detection
650		0	_aDatabase management
700	0		_aVatcharaporn Esichaikul, _eChairperson
700	0		_aVilas Wuwongse, _eExamination Committee
700	1		_aJenecek, Paul, _eExamination committee
710	2		_aHigher Education Commission ( HEC), Pakistan, _eScholarship donor
810	2		_aAsian Institute of Technology. _tResearch studies project report ; _vno. IM-09-01
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B01412
907			_a.b12070385 _bmnait _cu
902			_a240329
998			_b0 _c091112 _dm _ea _fu _g0
945			_lmnait
945			_lmnait
945			_lmnarc
942			_c20
942			_c40
909			_aBarcode : 30050120722557 _bCREATED : 2009-12-11 _cRECORD # : i12623507 _dLPATRON : 1025685 _eLCHKIN : 2015-01-30 _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 3 _jTOT RENEW : 0
909			_aBarcode : 30050120722565 _bCREATED : 2009-12-11 _cRECORD # : i12623519 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
909			_aBarcode : 30050160108683 _bCREATED : 2016-08-04 _cRECORD # : i12934343 _dLPATRON : 0 _eLCHKIN : - _f# RENEWALS : 0 _g# OVERDUE : 0 _hIUSE3 : 0 _iTOT CHKOUT : 0 _jTOT RENEW : 0
999			_c31836 _d31836