Nature-Inspired Computation in Data Mining and Machine Learning

Nature-Inspired Computation in Data Mining and Machine Learning (Studies in Computational Intelligence)
by: Xin-She Yang
ISBN-10: 3030285529
ISBN-13: 9783030285524
Edition 版本: 1st ed. 2020
Released: 2019-09-03
Pages: 273 pages
Book Description
This book reviews the latest developments in nature-inspired computation,with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining,machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach,each chapter introduces a specific topic,with detailed descriptions of relevant algorithms,extensive literature reviews and implementation details.
Covering topics such as nature-inspired algorithms,swarm intelligence,classification,clustering,feature selection,cybersecurity,learning algorithms over cloud,extreme learning machines,object categorization,particle swarm optimization,flower pollination and firefly algorithms,and neural networks,it also presents case studies and applications,including classifications of crisis-related tweets,extraction of named entities in the Tamil language,performance-based prediction of diseases,and healthcare services. This book is both a valuable a reference resource and a practical guide for students,researchers and professionals in computer science,data and management sciences,artificial intelligence and machine learning.