000			02109cam a2200349 i 4500
999			_c10526 _d10526
001			17887468
005			20190509094253.0
008			130916s2013 nyua b 001 0 eng
010			_a 2013037544
020			_a9780521766333 (hardback : alk. paper)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bZ36 2014
082	0	0	_a006.312 _223 _bZ.M.D
100	1		_aZaki, Mohammed J., _d1971-
245	1	0	_aData mining and analysis : _bfundamental concepts and algorithms / _cMohammed J. Zaki, Rensselaer Polytechnic Institute, Troy, New York, Wagner Meira, Jr., Universidade Federal de Minas Gerais, Brazil.
264		1	_aNew York, NY : _bCambridge University Press, _c2014.
300			_axi, 593 pages : _billustrations ; _c27 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
500			_acomputer bookfair2016
504			_aIncludes bibliographical references and index.
505	0		_aData mining and analysis -- Numeric attributes -- Categorical attributes -- Graph data -- Kernel methods -- High-dimensional data -- Dimensionality reduction -- Itemset mining -- Summarizing itemsets -- Sequence mining -- Graph pattern mining -- Pattern and rule assessment -- Representative-based clustering -- Hierarchical clustering -- Density-based clustering -- Spectral and graph clustering -- Clustering validation -- Probabilistic classification -- Decision tree classifier -- Linear discriminant analysis -- Support vector machines -- Classification assessment.
520			_aA comprehensive overview of data mining from an algorithmic perspective, integrating related concepts from machine learning and statistics.
650		0	_aData mining.
700	1		_aMeira, Wagner, _d1967-
856			_3Abstract _uhttp://repository.fue.edu.eg/xmlui/handle/123456789/3670
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK