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Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a \"white box\" methodology and with real--world case studies, this step--by--step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include: aeo Data preprocessing and classification aeo Exploratory analysis aeo Decision trees aeo Neural and Kohonen networks aeo Hierarchical and k--means clustering aeo Association rules aeo Model evaluation techniques Complete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge.  An Instructora s Manual presenting detailed solutions to all the problems in the book is available online.","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":49976058511633,"sku":"CIN0471666572G","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":51771913306385,"sku":"CIN0471666572VG","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0471666572.jpg?v=1751072277"},{"product_id":"discovering-knowledge-in-data-book-daniel-t-larose-9780470908747","title":"Discovering Knowledge in Data","description":"The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before.   This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining.     The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book","brand":"WoB","offers":[{"title":"US \/ GOOD \/ SBYB","offer_id":50205564567825,"sku":"CIN0470908742G","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50270627823889,"sku":"CIN0470908742VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ NEW \/ INGRAM","offer_id":51002703970577,"sku":"NIN9780470908747","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52673174733073,"sku":"NLS9780470908747","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0470908742.jpg?v=1751325827"},{"product_id":"data-mining-and-predictive-analytics-book-daniel-t-larose-9781118116197","title":"Data Mining and Predictive Analytics","description":"Learn methods of data analysis and their application to real-world data sets   This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets.   Data Mining and Predictive Analytics:     Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content   Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.","brand":"WoB","offers":[{"title":"US \/ VERY_GOOD \/ SBYB","offer_id":50373186945297,"sku":"CIN1118116194VG","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ WELL_READ \/ SBYB","offer_id":51325820371217,"sku":"CIN1118116194A","price":0.0,"currency_code":"GBP","in_stock":false},{"title":"US \/ GOOD \/ SBYB","offer_id":52105699655953,"sku":"CIN1118116194G","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/B01E1TJ8UI.jpg?v=1751367365"},{"product_id":"discovering-statistics-media-update-book-daniel-t-larose-9781319005214","title":"Discovering Statistics Media Update","description":"\u003ci\u003eDiscovering Statistics\u003c\/i\u003e is now supported by Sapling Intro Stats, a powerful online homework system in which every problem is an opportunity for a student to learn through meaningful hints, targeted feedback, and detailed solutions. 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