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" Data mining : "
Nong Ye
Document Type
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BL
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Record Number
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665240
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Doc. No
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dltt
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Main Entry
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Ye, Nong,1964-
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Title & Author
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Data mining : : theories, algorithms, and examples /\ Nong Ye
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Series Statement
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Human Factors and Ergonomics Series
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Page. NO
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xix, 329 pages ;; 24 cm
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ISBN
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9781439808382 (hardcover : alk. paper)
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: 1439808384 (hardcover : alk. paper)
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Notes
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"A CRC title."
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Bibliographies/Indexes
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Includes bibliographical references and index
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Contents
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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 -- Naïve 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
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Subject
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Data mining
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Subject
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Data mining-- Mathematical models
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Dewey Classification
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006.3/12
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LC Classification
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QA76.9.D343Y4 2014
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