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Dedication Page
by Dursun Delen
Real-World Data Mining: Applied Business Analytics and Decision Making
About This eBook
Title Page
Copyright Page
Books in the FT Press Analytics Series
Dedication Page
Contents
Foreword
Acknowledgments
About the Author
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
References
2. Introduction to Data Mining
What Is Data Mining?
What Data Mining Is Not
The Most Common Data Mining Applications
What Kinds of Patterns Can Data Mining Discover?
Popular Data Mining Tools
The Dark Side of Data Mining: Privacy Concerns
References
3. The Data Mining Process
The Knowledge Discovery in Databases (KDD) Process
Cross-Industry Standard Process for Data Mining (CRISP-DM)
SEMMA
SEMMA Versus CRISP-DM
Six Sigma for Data Mining
Which Methodology Is Best?
References
4. Data and Methods in Data Mining
The Nature of Data in Data Mining
Preprocessing of Data for Data Mining
Data Mining Methods
Prediction
Classification
Decision Trees
Cluster Analysis for Data Mining
k-Means Clustering Algorithm
Association
Apriori Algorithm
Data Mining Misconceptions and Realities
References
5. Data Mining Algorithms
Nearest Neighbor
Similarity Measure: The Distance Metric
Artificial Neural Networks
Support Vector Machines
Linear Regression
Logistic Regression
Time-Series Forecasting
References
6. Text Analytics and Sentiment Analysis
Natural Language Processing
Text Mining Applications
The Text Mining Process
Text Mining Tools
Sentiment Analysis
References
7. Big Data Analytics
Where Does Big Data Come From?
The Vs That Define Big Data
Fundamental Concepts of Big Data
The Business Problems That Big Data Analytics Addresses
Big Data Technologies
Data Scientists
Big Data and Stream Analytics
Data Stream Mining
References
Index
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Contents
To my mother;
without her love and compassion,
I wouldn’t be here.
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