- 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
1. Introduction 2. Intelligence Methods for Data Mining Tasks 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
D. Binu is a Managing Director and Co-founder of Resbee Info Technologies Pvt. Ltd, India. He played a major role in developing the e-khool learning management system, boosted with artificial intelligence. He is an expert in AI and soft computing with the domain knowledge of image/video processing, networking, electronic circuits, biometrics, data mining, and the semantic web. Currently, he has over 25 publications, including IEEE transactions, and filed more than 20 Indian patents.
B.R. Rajakumar is a Director and Co-Founder of Resbee Info Technologies Pvt. Ltd, India. He is the inventor of the "Lion Algorithm, a nature-inspired optimization algorithm which has been actively exploited to solve engineering problems by researchers. He is a reviewer and editorial member of various journals and has been recognized by several prestigious awards for quality innovations made in soft computing.