Artificial Intelligence in Data Mining : Theories and Applications

D. (Managing Director and Co-Founder Binu

ISBN 10: 0128206012 / ISBN 13: 9780128206010

Published by Elsevier Science Publishing Co Inc Feb 2021, 2021

About this Item

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Bibliographic Details

• Title: Artificial Intelligence in Data Mining : Theories and Applications
• Publisher: Elsevier Science Publishing Co Inc Feb 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 0128206012
• ISBN 13: 9780128206010
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 0D millimeters 235 millimeters width by 191 millimeters height by 0 millimeters depth
• Weight: 570 grams

About this title

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

About the Authors

D. Binu is a Managing Director and Co-founder of Resbee Info Technologies Pvt. Ltd, India. He is a data scientist who specializes in integrating Artificial Intelligence (AI) technologies into e-learning platforms, utilising his eagerness, experience and passion to invent. He has contributed to developing the AI-based learning management system, named e-khool, which established Resbee Info Technologies Pvt. Ltd. He has contributed in the areas of AI, machine learning and data mining, with sound publications in reputed journals (including, IEEE transaction articles). He has published over 25 publications 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 Lead Researcher of the in-house research unit in Resbee Info Technologies, focusing on deploying Artificial Intelligence (AI) on e-learning platforms. He is also the technical advisor of the AI-based research products, and played a lead role in developing E-Khool, a next generation AI-enabled LMS. He has multidisciplinary expertise, specifically in AI and Soft Computing applications. He is the founder of the Lion Algorithm and published his research outcomes in refereed International Journals. He has filed 20+ Indian patents and holds researcher awards for his contributions.