000			02144nam a22003498a 4500
005			20250918151423.0
008			120322s2011 enk b 001 0 eng
010			_a2010-040730
020			_a9781848212039 (hbk)
039		9	_a201210101207 _bbaiti _c201210101206 _dbaiti _c201209181643 _didah _c201203222051 _didah _y03-22-2012 _zidah
090			_aQA76.9.D343A435 3
090			_aQA76.9.D343 _bA435
100	1		_aAlbalate, Amparo.
245	1	0	_aSemi-Supervised and Unsuppervised Machine Learning / _cAmparo Albalate, Wolfgang Minker.
260			_aLondon : _bISTE ; _c2011.
300			_ax 244 p. : _bill. _c23 cm.
504			_aIncludes bibliographical references and index.
520			_a'This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic microarray data. Among those, the book focuses on a new application for dialog systems which can be thereby made adaptable and portable to different domains. Clustering evaluation metrics and new approaches, such as the ensembles of clustering algorithms, are also described'-- _cProvided by publisher.
650		0	_aData mining.
650		0	_aDiscourse analysis _xStatistical methods.
650		0	_aSpeech processing systems.
650		0	_aComputational intelligence.
650		7	_aTECHNOLOGY & ENGINEERING / Electronics / General _2bisacsh.
700	1		_aMinker, Wolfgang.
907			_a.b15287695 _b2021-05-28 _c2019-11-12
942			_c01 _n0 _kQA76.9.D343A435 3
914			_avtls003492587
990			_abaiti
991			_aFakulti Kejuruteraan dan Alam Bina
998			_al _b2012-09-03 _cm _da _feng _genk _y0 _z.b15287695
999			_c512656 _d512656