Artificial Intelligence in Data Mining: Theories and Applications

✍ Scribed by D. Binu and B. R. Rajakumar

• Publisher: Elsevier; Academic Press
• Year: 2021
• Tongue: English
• Leaves: 271
• Category: Library

✦ Synopsis

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

✦ Subjects

Data mining