Handbook of statistical analysis and data mining applications / Robert Nisbet, Gary Miner, Ken Yale ; guest authors of selected chapters, John Elder, Andy Peterson.
Material type:
- text
- unmediated
- volume
- 9780124166325
- 0124166326
- 23 6.312 N631 2018
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Foundation University Library Circulation | 6.312 N631 2018 (Browse shelf(Opens below)) | Available | 62107 |
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597.1778909164 R25 Reef fish identification: tropical Pacific. | 597.64 Sa594 2018 Biology and ecology of toxic pufferfish / | 599.938 V282 2018 Human evolution beyond biology and culture : evolutionary social, environmental and policy sciences / | 6.312 N631 2018 Handbook of statistical analysis and data mining applications / | 610.2809 F418 2017 Planning and managing the safety system / | 610.73 At5 Fundamentals of nursing : a nursing process approach. | 610.73072 Nursing research : generating and accessing the evidence for nursing practices. |
Includes bibliographical references and index.
History of phases of data analysis, basic theory, and the data mining process -- The algorithms and methods in data mining and predictive analytics and some domain areas -- Tutorials and case studies -- Models ensembles, model complexity; using the right model for the right use, significance, ethics, and the future and advanced processes.
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.
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