Book description
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various dat
Table of contents
 Cover
 Half Title
 Title Page
 Copyright Page
 Table of Contents
 Preface
 Acknowledgments
 Author
 Part I An Overview of Data Mining

Part II Algorithms for Mining Classification and Prediction Patterns
 2. Linear and Nonlinear Regression Models
 3. Naïve Bayes Classifier

4. Decision and Regression Trees
 4.1 Learning a Binary Decision Tree and Classifying Data Using a Decision Tree
 4.2 Learning a Nonbinary Decision Tree
 4.3 Handling Numeric and Missing Values of Attribute Variables
 4.4 Handling a Numeric Target Variable and Constructing a Regression Tree
 4.5 Advantages and Shortcomings of the Decision Tree Algorithm
 4.6 Software and Applications
 Exercises
 5. Artificial Neural Networks for Classification and Prediction

6. Support Vector Machines
 6.1 Theoretical Foundation for Formulating and Solving an Optimization Problem to Learn a Classification Function
 6.2 SVM Formulation for a Linear Classifier and a Linearly Separable Problem
 6.3 Geometric Interpretation of the SVM Formulation for the Linear Classifier
 6.4 Solution of the Quadratic Programming Problem for a Linear Classifier
 6.5 SVM Formulation for a Linear Classifier and a Nonlinearly Separable Problem
 6.6 SVM Formulation for a Nonlinear Classifier and a Nonlinearly Separable Problem
 6.7 Methods of Using SVM for MultiClass Classification Problems
 6.8 Comparison of ANN and SVM
 6.9 Software and Applications
 Exercises
 7. kNearest Neighbor Classifier and Supervised Clustering
 Part III Algorithms for Mining Cluster and Association Patterns
 Part IV Algorithms for Mining Data Reduction Patterns
 Part V Algorithms for Mining Outlier and Anomaly Patterns
 Part VI Algorithms for Mining Sequential and Temporal Patterns
 References
 Index
Product information
 Title: Data Mining
 Author(s):
 Release date: July 2013
 Publisher(s): CRC Press
 ISBN: 9781482219388
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