Nature-Inspired Computation in Data Mining and Machine Learning by Xin-She Yang
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.-
Knowledge-Driven Human-Centric Intelligence
-
Hybrid Intelligent System Design by Fusion of Soft Computing Models
-
Computational Intelligence in Internet of Agricultural Things
-
Intelligent Distributed Computing XVI
-
Optimized Cloud Based Scheduling
-
Computational Intelligence for Business Analytics and Decision Systems
-
Computational Intelligence and Mathematics for Tackling Complex Problems 7
-
IT Service and Business Innovation
-
The Artificial Intelligence-Driven Biotechnology Revival: Innovative Approaches to Sustainable Development
-
INTRODUCTION TO COMPUTATIONAL MATHEMATICS (2ND EDITION)
-
Proceedings of 11th International Congress on Information and Communication Technology
-
Proceedings of Tenth International Congress on Information and Communication Technology
-
Proceedings of Fifth International Congress on Information and Communication Technology
-
Nature-Inspired Optimization Algorithms
-
Nature-Inspired Computation and Swarm Intelligence
-
Computational Optimization and Applications in Engineering and Industry
-
Artificial Intelligence, Evolutionary Computing and Metaheuristics
-
Cuckoo Search and Firefly Algorithm
-
Fourth International Congress on Information and Communication Technology
-
Metaheuristic Applications in Structures and Infrastructures
-
Third International Congress on Information and Communication Technology
-
Engineering Simulation and its Applications
-
Introduction to Algorithms for Data Mining and Machine Learning
-
Proceedings of Sixth International Congress on Information and Communication Technology
-
Nature-Inspired Computation in Engineering
-
Nature-Inspired Computation in Navigation and Routing Problems
-
Metaheuristics in Water, Geotechnical and Transport Engineering
-
Nature-Inspired Algorithms and Applied Optimization
-
Metaheuristics and Optimization in Civil Engineering
-
Mathematical Foundations of Nature-Inspired Algorithms
-
Recent Advances in Swarm Intelligence and Evolutionary Computation
-
Bio-Inspired Computation in Telecommunications
-
Benchmarks and Hybrid Algorithms in Optimization and Applications
| SKU | Unavailable |
| ISBN 13 | 9783030285555 |
| ISBN 10 | 3030285553 |
| Title | Nature-Inspired Computation in Data Mining and Machine Learning |
| Author | Xin She Yang |
| Series | Studies In Computational Intelligence |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2020-09-16 |
| Number of pages | 273 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |