Robert Nisbet
Handbook of Statistical Analysis and Data Mining Applications
Ebook (EPUB Format)
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 c…
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Beschreibung
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 implementationsIncludes extensive case studies, examples, MS PowerPoint slides and datasetsCD-DVD with valuable fully-working 90-day software included: Complete Data Miner - QC-Miner - Text Miner bound with book
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Produktdetails
Weitere Autoren: Elder, John / Miner, Gary
- ISBN: 978-0-08-091203-5
- EAN: 9780080912035
- Produktnummer: 35978118
- Verlag: Elsevier Science & Techn.
- Sprache: Englisch
- Erscheinungsjahr: 2009
- Seitenangabe: 864 S.
- Plattform: EPUB
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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