Contents
Chapter 1 Introduction to Analytics
Is There a Difference Between Analytics and Analysis?
Where Does Data Mining Fit In?
Why the Sudden Popularity of Analytics?
The Application Areas of Analytics
The Main Challenges of Analytics
A Longitudinal View of Analytics
A Simple Taxonomy for Analytics
The Cutting Edge of Analytics: IBM Watson
Chapter 2 Introduction to Data Mining
The Most Common Data Mining Applications
What Kinds of Patterns Can Data Mining Discover?
The Dark Side of Data Mining: Privacy Concerns
Chapter 3 The Data Mining Process
The Knowledge Discovery in Databases (KDD) Process
Cross-Industry Standard Process for Data Mining (CRISP-DM)
Chapter 4 Data and Methods in Data Mining
The Nature of Data in Data Mining
Preprocessing of Data for Data Mining
Cluster Analysis for Data Mining
Data Mining Misconceptions and Realities
Chapter 5 Data Mining Algorithms
Similarity Measure: The Distance Metric
Chapter 6 Text Analytics and Sentiment Analysis
Where Does Big Data Come From?
Fundamental Concepts of Big Data