Applied Intelligent Decision Making in Machine Learning (Computational Intelligence in Engineering Problem Solving)

ISBN 10: 0367503360 / ISBN 13: 9780367503369

Published by Taylor & Francis Group, 2020

About this Item

Seller Inventory # 18379939483

Bibliographic Details

• Title: Applied Intelligent Decision Making in Machine Learning (Computational Intelligence in Engineering Problem Solving)
• Publisher: Taylor & Francis Group
• Publication Date: 2020
• Language: English
• ISBN 10: 0367503360
• ISBN 13: 9780367503369
• Binding: Hardcover
• Condition: New

About this title

Synopsis

The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. It also provides a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to share their thoughts in the context of recent innovations, trends, developments, practical challenges, and advancements in the field of data mining, machine learning, soft computing, and decision science. It also focuses on the usefulness of applied intelligent techniques in the decision-making process in several aspects.

To address these objectives, this edited book includes a dozen chapters contributed by authors from around the globe. The authors attempt to solve these complex problems using several intelligent machine-learning techniques. This allows researchers to understand the mechanism needed to harness the decision-making process using machine-learning techniques for their own respective endeavors.

About the Author

Himansu Das is working as an Assistant Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, India.

Jitendra Kumar Rout is an Assistant Professor in School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India.

Suresh Chandra Moharana is an Assistant Professor in School of Computer Engineering at KIIT Deemed to be University.

Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology (under Techno India Group), Kolkata, India.