Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.
Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and real-world applications to ease understanding of the materials.
Contents: G. Salvendy Foreword. N. Ye Preface. Part I: Methodologies of Data Mining. J. Gehrke Decision Trees. G.I. Webb Association Rules. J. Si B.J. Nelson G.C. Runger Artificial Neural Network Models for Data Mining. C.M. Borror Statistical Analysis of Normal and Abnormal Data. D. Madigan G. Ridgeway Bayesian Data Analysis. S.L. Scott Hidden Markov Processes and Sequential Pattern Mining. G. Ridgeway Strategies and Methods for Prediction. D.W. Apley Principal Components and Factor Analysis. E. Ip I. Cadez P. Smyth Psychometric Methods of Latent Variable Modeling. J. Ghosh Scalable Clustering. G. Das D. Gunopulos Time Series Similarity and Indexing. Y-C. Lai Z. Liu N. Ye T. Yalcinkaya Nonlinear Time Series Analysis. B-H. Park H. Kargupta Distributed Data Mining. Part II: Management of Data Mining. D. Pyle Data Collection Preparation Quality and Visualization. T. Wu X. Li Data Storage and Management. H. Liu L. Yu H. Motoda Feature Extraction Selection and Construction. S.M. Weiss T. Zhang Performance Analysis and Evaluation. C. Clifton Security and Privacy. R. Grossman M. Hornick G. Meyer Emerging Standards and Interfaces. Part III: Applications of Data Mining. D.A. Nembhard Mining Human Performance Data. R. Feldman Mining Text Data. S. Shekhar R.R. Vatsavai Mining Geospatial Data. C. Kamath Mining Science and Engineering Data. M.J. Zaki Mining Data in Bioinformatics. R. Cooley Mining Customer Relationship Management (CRM) Data. N. Ye Mining Computer and Network Security Data. C. Djeraba G. Fernandez Mining Image Data. M.C. Testik G.C. Runger Mining Manufacturing Quality Data.
Contents: G. Salvendy Foreword. N. Ye Preface. Part I: Methodologies of Data Mining. J. Gehrke Decision Trees. G.I. Webb Association Rules. J. Si B.J. Nelson G.C. Runger Artificial Neural Network Models for Data Mining. C.M. Borror Statistical Analysis of Normal and Abnormal Data. D. Madigan G. Ridgeway Bayesian Data Analysis. S.L. Scott Hidden Markov Processes and Sequential Pattern Mining. G. Ridgeway Strategies and Methods for Prediction. D.W. Apley Principal Components and Factor Analysis. E. Ip I. Cadez P. Smyth Psychometric Methods of Latent Variable Modeling. J. Ghosh Scalable Clustering. G. Das D. Gunopulos Time Series Similarity and Indexing. Y-C. Lai Z. Liu N. Ye T. Yalcinkaya Nonlinear Time Series Analysis. B-H. Park H. Kargupta Distributed Data Mining. Part II: Management of Data Mining. D. Pyle Data Collection Preparation Quality and Visualization. T. Wu X. Li Data Storage and Management. H. Liu L. Yu H. Motoda Feature Extraction Selection and Construction. S.M. Weiss T. Zhang Performance Analysis and Evaluation. C. Clifton Security and Privacy. R. Grossman M. Hornick G. Meyer Emerging Standards and Interfaces. Part III: Applications of Data Mining. D.A. Nembhard Mining Human Performance Data. R. Feldman Mining Text Data. S. Shekhar R.R. Vatsavai Mining Geospatial Data. C. Kamath Mining Science and Engineering Data. M.J. Zaki Mining Data in Bioinformatics. R. Cooley Mining Customer Relationship Management (CRM) Data. N. Ye Mining Computer and Network Security Data. C. Djeraba G. Fernandez Mining Image Data. M.C. Testik G.C. Runger Mining Manufacturing Quality Data.
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