Evolution in Computational Intelligence : Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 1 / edited by Vikrant Bhateja, Sheng-Lung Peng, Suresh Chandra Satapathy, Yu-Dong Zhang

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Advances in Intelligent Systems and Computing ; 1176Verlag: Singapore : Springer Singapore, 2021Verlag: Singapore : Imprint: Springer, 2021Auflage: 1st ed. 2021Beschreibung: 1 Online-Ressource(XXI, 797 p. 383 illus., 262 illus. in color.)ISBN:

9789811557880

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Andere physische Formen: 9789811557873 | 9789811557897 | Erscheint auch als: 9789811557873 Druck-Ausgabe | Erscheint auch als: 9789811557897 Druck-AusgabeDOI: DOI: 10.1007/978-981-15-5788-0Online-Ressourcen:

Zusammenfassung: Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries -- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph -- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges -- Personalized Structure Balance Theory Based Movie Recommendation System -- Machine Learning Techniques for the Investigation of Phishing Websites.Zusammenfassung: This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.PPN: PPN: 1734641525Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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