Applied Intelligent Decision Making in Machine Learning
The objective of this edited book is to share the outcomes fromvarious research domains to develop efficient, adaptive, andintelligent models to handle the challenges related to decisionmaking. It incorporates the advances in machine intelligenttechniques such as data streaming, classification, clustering,pattern matching, feature selection, and deep learning in thedecision-making process for several diversified applications suchas agriculture, character recognition, landslide susceptibility,recommendation systems, forecasting air quality, healthcare,exchange rate prediction, and image dehazing. It also provides apremier interdisciplinary platform for scientists, researchers,practitioners, and educators to share their thoughts in the contextof 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 theusefulness of applied intelligent techniques in the decision-makingprocess in several aspects.To address these objectives, this edited book includes a dozenchapters contributed by authors from around the globe. The authorsattempt to solve these complex problems using several intelligentmachine-learning techniques. This allows researchers to understandthe mechanism needed to harness the decision-making process usingmachine-learning techniques for their own respective endeavors.About the AuthorHimansu Das is working as an Assistant Professor in the Schoolof Computer Engineering, Kalinga Institute of Industrial Technology(KIIT) Deemed to be University, Bhubaneswar, India.Jitendra Kumar Rout is an Assistant Professor in School ofComputer Engineering, KIIT Deemed to be University, Bhubaneswar,India.Suresh Chandra Moharana is an Assistant Professor in School ofComputer Engineering at KIIT Deemed to be University.Nilanjan Dey is an Assistant Professor in Department ofInformation Technology at Techno India College of Technology (underTechno India Group), Kolkata, India.