000			02121nam a2200301 a 4500
001			vtls000085571
003			KUKTEM
005			20251125100128.0
008			150409t2014 flu f b 001 0 eng d
020			_a9781439808382 (hardcover : alk. paper)
020			_a1439808384 (hardcover : alk. paper)
039		9	_a201504091056 _bariffin _c201504091056 _dariffin _y201504091055 _zariffin
040			_aUMP
090			_aQA76.9.D343 Y46 2014
100	1		_aYe, Nong
245	1	0	_aData mining : _btheories, algorithms, and examples / _cNong Ye
260			_aBoca Raton : _bTaylor & Francis, _c[2014]
300			_axix, 329 p. ; _c24 cm.
490	1		_aHuman Factors and Ergonomics Series
500			_a"A CRC title."
504			_aIncludes bibliographical references and index
505	0		_apt. 1. An overview of data mining. Introduction to data, data patterns, and data mining -- pt. 2. Algorithms for mining classification and prediction patterns. Linear and nonlinear regression models -- Naive Bayes classifier -- Decision and regression trees -- Artificial neural networks for classification and prediction -- Support vector machines -- k-Nearest neighbor classifier and supervised clustering -- pt. 3. Algorithms for mining cluster and association patterns. Hierarchial clustering -- K-Means clustering and density-based clustering -- Self-organizing map -- Probability distributions of univariate data -- Association rules -- Bayesian network -- pt. 4. Algorithms for mining data reduction patterns. Principal component analysis -- Multidimensional scaling -- pt. 5. Algorithms for mining outlier and anomaly patterns. Univariate control charts -- Multivariate control charts -- pt. 6. Algorithms for mining sequential and temporal patterns. Autocorrelation and time series analysis -- Markov chain models and hidden Markov models -- Wavelet analysis
650		0	_aData mining
650		0	_aData mining _xMathematical models
830		0	_aHuman Factors and Ergonomics Series
999			_aVIRTUA40 _c77763 _d77769
999			_aVTLSSORT0080*0400*0200*0201*0900*1000*2450*2600*3000*4900*5000*5040*5050*6500*6501*8300*9992
942	0	0	_01