"This is a reference book for experienced professionals, that treats four widely used data-mining algorithms in a novel way, offering a basic introduction with issues of importance, advantages and disadvantages of these algorithms"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Preface
• Introduction
• Chapter 1: Introduction to Data Mining
• Chapter 2: Classification Algorithms and Control-Flow Implementation
• Chapter 3: Classification Algorithms and Dataflow Implementation
• Chapter 4: Scientific Applications of Machine Learning Algorithms
• Chapter 5: Business and Industrial Applications of Machine Learning Algorithms
• Chapter 6: Implementation Details of Neural Networks Using Dataflow
• Chapter 7: Implementation Details of Decision Tree Algorithms Using Dataflow
• Chapter 8: Implementation Details of Rule-Based Algorithms Using Dataflow
• Chapter 9: Implementation Details of Density-Based Algorithms Using Dataflow
• Chapter 10: Issues Related to Acceleration of Algorithms
• Conclusion
• Glossary
• Related Readings
• About the Authors
• Index