Data Mining And Predictive Analytics, 2Nd Edition
商品資訊
系列名:Wiley Series on Methods and Applications in Data
ISBN13:9781118116197
出版社:John Wiley & Sons Inc
作者:Larose
出版日:2015/03/06
裝訂/頁數:精裝/824頁
規格:24.1cm*16.5cm*5.1cm (高/寬/厚)
版次:2
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:NT$ 9297 元優惠價
:90 折 8367 元
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This book provides an introduction into data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. In addition, this revised edition features a detailed introductory chapter, as well as new clustering algorithms and extensive coverage of R. Out of date sections will be updated according to the current advances in the field.
作者簡介
Daniel T. Larose is Professor of Mathematical Sciences and Director of the Data Mining programs at Central Connecticut State University. He has published several books, including Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage (Wiley, 2007) and Discovering Knowledge in Data: An Introduction to Data Mining (Wiley, 2005). In addition to his scholarly work, Dr. Larose is a consultant in data mining and statistical analysis working with many high profile clients, including Microsoft, Forbes Magazine, the CIT Group, KPMG International, Computer Associates, and Deloitte, Inc.
Chantal D. Larose is a Ph.D. candidate in Statistics at the University of Connecticut. Her research focuses on the imputation of missing data and model-based clustering. She has taught undergraduate statistics since 2011, and is a statistical consultant for DataMiningConsultant.com, LLC.
Chantal D. Larose is a Ph.D. candidate in Statistics at the University of Connecticut. Her research focuses on the imputation of missing data and model-based clustering. She has taught undergraduate statistics since 2011, and is a statistical consultant for DataMiningConsultant.com, LLC.
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