Handbook of Statistical Analysis and Data Mining Applications (eBook)

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 areas-from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world 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

Dr. Kenneth Yale has a track record of Business Development, Product Innovation, and Strategy in both entrepreneurial and large companies across healthcare industry verticals, including Health Payers, Life Sciences, and Government Programs. He is an agile executive who identifies future industry trends and seizes opportunities to build sustainable businesses. His accomplishments include innovations in Health Insurance, Care Management, Data Science, Big Data Healthcare Analytics, Clinical Decision Support, and Precision Medicine.His prior experience includes: medical director and vice president of clinical solutions at ActiveHealth Management/Aetna, chief executive of innovation incubator business unit at UnitedHealth Group Community & State, strategic counsel for Johnson & Johnson, corporate vice president of CorSolutions and Matria Healthcare, senior vice president and general counsel at EduNeering, and founder and CEO of Advanced Health Solutions. Dr. Yale previously worked in the federal government as Commissioned Officer in the US Public Health Service, Legislative Counsel in the US Senate, Special Assistant to the President and Executive Director of the White House Domestic Policy Council, and Chief of Staff of the White House Office of Science and Technology.Dr. Yale provides leadership and actively participates with industry organizations, including the American Medical Informatics Association - Workgroup on Genomics and Translational Bioinformatics; Bloomberg/BNA Health Insurance Advisory Board; Healthcare Information and Management Systems Society; and the URAC Accreditation Organization. He is a frequent speaker and author on health and technology topics, including the books 'Managed Care Compliance Guide,” 'Clinical Integration: Population Health and Accountable Care,” tutorial author in 'Practical Predictive Analytics and Decisioning Systems for Medicine,” and editor with 'Statistical Analysis and Data Mining Applications Second Edition.

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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 areas from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners- Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models- Contains practical advice from successful real-world 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