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
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-12-820616-4 (9780128206164)
Schweitzer Klassifikation
1. Introduction2. Intelligence Methods for Data Mining Tasks3. Unsupervised Learning Methods for Data Clustering4. Heuristic Methods for Data Clustering5. Deep Learning Methods for Data Classification6. Neural Networks for Data Classification7. Application of Artificial Intelligence in the Perspective of Data Mining8. Biomedical Data Mining for Improved Clinical Diagnosis9. Satellite Data: Big Data Extraction and Analysis10. Advancement of Data Mining Methods for Improvement of Agricultural Methods and Productivity11. Advanced Data Mining for Defense and Security Applications
