Artificial Intelligence in Data Mining: Theories and Applications

by D. Binu (Editor), B.R. Rajakumar (Editor)

Overview

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

Product Details

ISBN-13:	9780128206164
Publisher:	Elsevier Science & Technology Books
Publication date:	02/17/2021
Sold by:	Barnes & Noble
Format:	eBook
Pages:	270
File size:	7 MB

About the Author

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.

Table of Contents

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

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From the Publisher

Offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications