02121nam a2200301 a 4500 vtls000085571 KUKTEM 20251125100128.0 150409t2014 flu f b 001 0 eng d 9781439808382 (hardcover : alk. paper) 1439808384 (hardcover : alk. paper) 201504091056 ariffin 201504091056 ariffin 201504091055 ariffin UMP QA76.9.D343 Y46 2014 Ye, Nong Data mining : theories, algorithms, and examples / Nong Ye Boca Raton : Taylor & Francis, [2014] xix, 329 p. ; 24 cm. Human Factors and Ergonomics Series "A CRC title." Includes bibliographical references and index pt. 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 Data mining Data mining Mathematical models Human Factors and Ergonomics Series 0 0 0 0 20000 20000 2019-09-04 410.76 1 QA76.9.D343 Y46 2014 0000094639 2023-11-03 00:00:00 2023-10-16 1 410.76 2019-09-04 OPEN VIRTUA40 77763 77769 VTLSSORT0080*0400*0200*0201*0900*1000*2450*2600*3000*4900*5000*5040*5050*6500*6501*8300*9992 1