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Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
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Annotation
"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"--.
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Table of Contents
- 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
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