1st Edition
by D. Binu (Editor), B. R. Rajakumar (Editor)
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
