TY  - BOOK
AU  - Das,Himansu
AU  - Rout,Jitendra Kumar
AU  - Moharana,Suresh Chandra
AU  - Dey,Nilanjan
TI  - Applied intelligent decision making in machine learning
T2  - Computational intelligence in engineering problem solving
SN  - 9781003049548
AV  - Q325.5 .A66 2020eb
U1  - 006.31 23
PY  - 2021///
CY  - Boca Raton
PB  - CRC Press, Taylor & Francis Group
KW  - Machine learning
KW  - Decision making
KW  - Data processing
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - TECHNOLOGY / Electronics / General
KW  - COMPUTERS / Programming / Systems Analysis & Design
N2  - 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
UR  - https://www.taylorfrancis.com/books/9781003049548
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -