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Robert Nisbet

Handbook of Statistical Analysis and Data Mining Applications

Ebook (EPUB Format)

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, 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 users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objec… Mehr

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Produktdetails


Weitere Autoren: Miner, Gary / Yale, Ken
  • ISBN: 978-0-12-416645-5
  • EAN: 9780124166455
  • Produktnummer: 35979168
  • Verlag: Elsevier Science & Techn.
  • Sprache: Englisch
  • Erscheinungsjahr: 2017
  • Seitenangabe: 822 S.
  • Plattform: EPUB
  • Auflage: 2. Auflage

Über den Autor


Dr. Robert Nisbet was trained initially in Ecology and Ecosystems Analysis. He has over 30 years of experience in complex systems analysis and modeling, most recently as a Researcher (University of California, Santa Barbara). In business, he pioneered the design and development of configurable data mining applications for retail sales forecasting, and Churn, Propensity-to-buy, and Customer Acquisition in Telecommunications, Insurance, Banking, and Credit industries. In addition to data mining, he has expertise in data warehousing technology for Extract, Transform, and Load (ETL) operations, Business Intelligence reporting, and data quality analyses. He is lead author of the Handbook of Statistical Analysis & Data Mining Applications¿ (Academic Press, 2009), and a co-author of Practical Text Mining (Academic Press, 2012), and co-author of Practical Predictive Analytics and Decisioning Systems for Medicine (Academic Press, 2015). Currently, he serves as an Instructor in the University of California, Irvine Predictive Analytics Certificate Program, teaching online and on-campus courses in Effective Data preparation, and Applications of Predictive Analytics. Additionally Bob is in the last stages of writing another book on 'Data Preparation for Predictive Analytic Modeling.

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