Title
Handbook Of Statistical Analysis And Data Mining Applications
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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 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 Several Areasfrom Science And Engineering, To Medicine, Academia And Commerce. Includes Input By Practitioners For Practitioners Includes Tutorials In Numerous Fields Of Study That Provide Stepbystep Instruction On How To Use Supplied Tools To Build Models Contains Practical Advice From Successful Realworld Implementations Brings Together, In A Single Resource, All The Information A Beginner Needs To Understand The Tools And Issues In Data Mining To Build Successful Data Mining Solutions Features Clear, Intuitive Explanations Of Novel Analytical Tools And Techniques, And Their Practical Applications
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of the Handbook of Statistical Analysis and Data Mining Applications? A: The handbook focuses on guiding professionals, including business analysts and researchers, through the stages of data analysis, model building, and implementation, particularly in the context of data mining and statistical methods.
- Q: Who is the author of this handbook? A: The handbook is authored by Ken Yale.
- Q: When was the second edition of this book published? A: The second edition was published on November 23, 2017.
- Q: What type of binding does this book have? A: The book is available in a hardcover binding.
- Q: How many pages does the Handbook of Statistical Analysis and Data Mining Applications contain? A: The handbook contains a total of 822 pages.
- Q: Is this book suitable for beginners in data mining? A: Yes, the handbook includes clear explanations and tutorials that are beneficial for beginners looking to understand data mining tools and issues.
- Q: What kind of practical advice does this handbook provide? A: The handbook offers practical advice based on real-world implementations of data mining solutions, helping users apply theoretical concepts effectively.
- Q: Does the book include examples from multiple fields? A: Yes, it discusses applications in various fields including science, engineering, medicine, academia, and commerce, making it versatile for practitioners.
- Q: What are the key benefits of using this handbook? A: Key benefits include comprehensive coverage of statistical methods, intuitive explanations of analytical tools, and guidance on addressing complex datasets with novel approaches.
- Q: Is this book considered a professional reference? A: Yes, it is regarded as a comprehensive professional reference for those engaged in data analysis and mining applications.