Handbook of statistical analysis and data mining applications Second Edition Elder
$25.00
Handbook of statistical analysis and data mining applications – Ebook Instant Download/Delivery ISBN(s): 9780124166325,0124166326
Product details:
- ISBN-10 : 0124166326
- ISBN-13 : 978-0124166325
- Author(s):
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.
Table contents:
Part I: History of Phases of Data Analysis, Basic Theory, and the Data Mining Process
Chapter 1: The Background for Data Mining Practice
Chapter 2: Theoretical Considerations for Data Mining
Chapter 3: The Data Mining and Predictive Analytic Process
Chapter 4: Data Understanding and Preparation
Chapter 5: Feature Selection
Chapter 6: Accessory Tools for Doing Data Mining
Part II: The Algorithms and Methods in Data Mining and Predictive Analytics and Some Do
Chapter 7: Basic Algorithms for Data Mining: A Brief Overview
Chapter 8: Advanced Algorithms for Data Mining
Chapter 9: Classification
Chapter 10: Numerical Prediction
Chapter 11: Model Evaluation and Enhancement
Chapter 12: Predictive Analytics for Population Health and Care
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