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- 270 pages
- English
- ePUB (mobile friendly)
- Only available on web
eBook - ePub
Book details
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About This Book
Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area.
- Provides coverage of the fundamentals of Artificial Intelligence as applied to data mining, including computational intelligence and unsupervised learning methods for data clustering
- Presents coverage of key topics such as heuristic methods for data clustering, deep learning methods for data classification, and neural networks
- Includes case studies and real-world applications of AI techniques in data mining, for improved outcomes in clinical diagnosis, satellite data extraction, agriculture, security and defense
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Yes, you can access Artificial Intelligence in Data Mining by D. Binu,B.R. Rajakumar in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Preface
- 1. Introduction
- 2. Intelligence methods for data mining task
- 3. Unsupervised learning methods for data clustering
- 4. Heuristic methods for data clustering
- 5. Deep learning methods for data classification
- 6. Neural networks for data classification
- 7. Application of artificial intelligence in the perspective of data mining
- 8. Biomedical data mining for improved clinical diagnosis
- 9. Satellite data: big data extraction and analysis
- 10. Advancement of data mining methods for improvement of agricultural methods and productivity
- 11. Advanced data mining for defense and security applications
- Index