Artificial intelligence in data mining : theories and applications /: theories and applications. (2021)

• Record Type: Book
• Further Information: Note: Edited by D. Binu, B.R. Rajakumar.
• Editors: Binu, D; Rajakumar, B. R
• Contents: 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
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 006.312; Data mining; Artificial intelligence
• Languages: English
• ISBNs: 9780128206164
• Related ISBNs: 9780128206010
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.