{"product_id":"data-mining-concepts-models-methods-and-algorithms-9781119516040","title":"Data Mining: Concepts, Models, Methods, and Algorithms","description":"\u003cp\u003e\u003cb\u003ePresents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe revised and updated third edition of \u003ci\u003eData Mining\u003c\/i\u003e contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author--a noted expert on the topic--explains the basic concepts, models, and methodologies that have been developed in recent years.\u003c\/p\u003e \u003cp\u003eThis new edition introduces and expands on many topics, as well as providing revised sections on software tools and data mining applications. Additional changes include an updated list of references for further study, and an extended list of problems and questions that relate to each chapter.This third edition presents new and expanded information that: \u003c\/p\u003e \u003cp\u003e- Explores big data and cloud computing\u003c\/p\u003e \u003cp\u003e- Examines deep learning\u003c\/p\u003e \u003cp\u003e- Includes information on convolutional neural networks (CNN)\u003c\/p\u003e \u003cp\u003e- Offers reinforcement learning\u003c\/p\u003e \u003cp\u003e- Contains semi-supervised learning and S3VM\u003c\/p\u003e \u003cp\u003e- Reviews model evaluation for unbalanced data\u003c\/p\u003e \u003cp\u003eWritten for graduate students in computer science, computer engineers, and computer information systems professionals, the updated third edition of \u003ci\u003eData Mining\u003c\/i\u003e continues to provide an essential guide to the basic principles of the technology and the most recent developments in the field.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Mehmed Kantardzic\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley-IEEE Press\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 11\/12\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 672\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.95lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 6.10w x 1.20d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781119516040\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMEHMED KANTARDZIC, PHD, \u003c\/b\u003e is a Professor in the Department of Computer Engineering and Computer Science (CECS) at the University of Louisville, and is Director of the Data Mining Lab and CECS Graduate Programs. He is a member of IEEE, ISCA, KAS, WSEAS, IEE, and SPIE.\u003cbr\u003e\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Hardcover","offer_id":40731822948467,"sku":"9.78112E+12","price":230.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_48de18e8-80bf-49e6-9f2a-d6220d8dd5e5.jpg?v=1677596739","url":"https:\/\/bookstorenmore.com\/en-de\/products\/data-mining-concepts-models-methods-and-algorithms-9781119516040","provider":"Bookstore N More","version":"1.0","type":"link"}