Applied Intelligent Decision Making in Machine Learning

This edited book aims to develop efficient, adaptive, and intelligent models for decision-making by integrating machine intelligent techniques like data streaming, classification, clustering, pattern matching, feature selection, and deep learning. It provides a platform for researchers, practitioners, and educators to share insights and advancements in data mining, machine learning, soft computing, and decision science.

Format: Paperback / softback
Length: 252 pages
Publication date: 15 May 2022
Publisher: Taylor & Francis Ltd

The objective of this edited book is to disseminate the findings from diverse research domains in order to develop efficient, adaptable, and intelligent models to tackle the challenges associated with decision-making. It incorporates advancements in machine intelligent techniques, including data streaming, classification, clustering, pattern matching, feature selection, and deep learning, into the decision-making process for various applications such as agriculture, character recognition, landslide susceptibility, recommendation systems, forecasting air quality, healthcare, exchange rate prediction, and image dehazing. Moreover, it serves as a premier interdisciplinary platform for scientists, researchers, practitioners, and educators to exchange their insights in the context of recent innovations, trends, developments, practical challenges, and advancements in data mining, machine learning, soft computing, and decision science. The book also emphasizes the usefulness of applied intelligent techniques in the decision-making process across various domains.

To achieve these objectives, this edited book features a dozen chapters authored by experts from across the world. The authors aim to solve these complex problems by employing various intelligent machine-learning techniques. This approach enables researchers to gain a deeper understanding of the mechanisms required to leverage machine-learning techniques for their own research endeavors.

Weight: 485g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367504939