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Data Mining for Business Analytics_ Conc.epub

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CONTENTS Cover Title Page Copyright Dedication Foreword Preface to the Third Edition Preface to the First Edition Acknowledgments Part I: Preliminaries Chapter 1: Introduction 1.1 What is Business Analytics? 1.2 What is Data Mining? 1.3 Data Mining and Related Terms 1.4 Big Data 1.5 Data Science 1.6 Why are There so Many Different Methods? 1.7 Terminology and Notation 1.8 Road Maps to This Book Chapter 2: Overview of the Data Mining Process 2.1 Introduction 2.2 Core Ideas in Data Mining 2.3 The Steps in Data Mining 2.4 Preliminary Steps 2.5 Predictive Power and Overfitting 2.6 Building a Predictive Model with XLMiner 2.7 Using Excel for Data Mining 2.8 Automating Data Mining Solutions Problems Part II: Data Exploration and Dimension Reduction Chapter 3: Data Visualization 3.1 Uses of Data Visualization 3.2 Data Examples 3.3 Basic Charts: Bar Charts, Line Graphs, and Scatter Plots 3.4 Multidimensional Visualization 3.5 Specialized Visualizations 3.6 Summary: Major Visualizations and Operations, by Data Mining Goal Problems Chapter 4: Dimension Reduction 4.1 Introduction 4.2 Curse of Dimensionality 4.3 P......

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