ISBN: 9780080912035

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both… Mehr…

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written By Practitioners for Practitioners Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: Complete Data Miner - QC-Miner - Text Miner bound with book Digital Content>E-books>Technology>Apple>Other Database Tools, Elsevier Science Digital >16<

2009, ISBN: 9780080912035

Academic Press, Kindle Edition, Auflage: 1, 864 Seiten, Publiziert: 2009-05-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Verkaufsrang: 2245927, Data Mining, Databases & Big Dat… Mehr…

Academic Press, Kindle Edition, Auflage: 1, 864 Seiten, Publiziert: 2009-05-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Verkaufsrang: 2245927, Data Mining, Databases & Big Data, Computers & Technology, Subjects, Books, Mathematical & Statistical, Software, Enterprise Applications, Probability & Statistics, Applied, Mathematics, Science & Math, tech.book(store), Cloud Computing, Specialty Boutique, Kindle eBooks, Categories, Kindle Store, Business, Applications & Software, Computer Science, Kindle eTextbooks, Specialty Stores, Science & Mathematics, English Language Store, Core Detail Page Stripe Ver.1 1-2016, Format: Kindle eBook, Academic Press, 2009<

2009, ISBN: 9780080912035

Academic Press, Kindle Ausgabe, Auflage: 1, 864 Seiten, Publiziert: 2009-05-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Computer & Internet, Kategorien, Bücher, Statistik, Nat… Mehr…

Academic Press, Kindle Ausgabe, Auflage: 1, 864 Seiten, Publiziert: 2009-05-14T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Computer & Internet, Kategorien, Bücher, Statistik, Naturwissenschaft & Mathematik, Fachbücher, Naturwissenschaften & Technik, Fremdsprachige Bücher, Fremdsprachige eBooks, Kindle eBooks, Kindle-Shop, Wissenschaft & Natur, Software, Englische eBooks, Nach Sprache, Wahrscheinlichkeit & Statistik, Angewandte Mathematik, Format: Kindle eBook, Academic Press, 2009<

ISBN: 9780080912035

*Handbook of Statistical Analysis and Data Mining Applications* / epub eBook für 70.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als ep… Mehr…

*Handbook of Statistical Analysis and Data Mining Applications* / epub eBook für 70.99 € / Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Mathematik Medien > Bücher nein eBook als epub eBooks > Fachthemen & Wissenschaft > Mathematik, Elsevier Science & Techn.<

2009, ISBN: 9780080912035

eBooks, eBook Download (EPUB,PDF), Auflage, [PU: Elsevier Science], [ED: 1], Elsevier Science, 2009