Soft Computing in Data Analytics [[electronic resource] ] : Proceedings of International Conference on SCDA 2018 / / edited by Janmenjoy Nayak, Ajith Abraham, B. Murali Krishna, G. T. Chandra Sekhar, Asit Kumar Das

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (848 pages)
• Disciplina: 006.3
• Soggetto topico: Engineering; Data mining; Computer software; Computational Intelligence; Data Mining and Knowledge Discovery; Algorithm Analysis and Problem Complexity
• Persona (resp. second.): NayakJanmenjoy; AbrahamAjith; KrishnaB. Murali; Chandra SekharG. T; DasAsit Kumar
• Nota di contenuto: Preface -- Acknowledgements -- About the Editors -- Conference Organizing Committee -- Technical Reviewers -- Table of Contents -- 82 Chapters -- Author Index.
• Sommario/riassunto: The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches. .
• Titolo autorizzato: Soft Computing in Data Analytics
• ISBN: 981-13-0514-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483315203321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 758