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Evolution in computational intellige...
~
(1998 :)
Evolution in computational intelligenceFrontiers in Intelligent Computing: Theory and Applications (FICTA 2020).Volume 1 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Evolution in computational intelligenceedited by Vikrant Bhateja .. [et al.].
Reminder of title:
Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020).
remainder title:
FICTA 2020
other author:
Bhateja, Vikrant.
corporate name:
Published:
Singapore :Springer Singapore :2021.
Description:
xxi, 797 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computational intelligenceCongresses.
Online resource:
https://doi.org/10.1007/978-981-15-5788-0
ISBN:
9789811557880$q(electronic bk.)
Evolution in computational intelligenceFrontiers in Intelligent Computing: Theory and Applications (FICTA 2020).Volume 1 /
Evolution in computational intelligence
Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020).Volume 1 /[electronic resource] :FICTA 2020edited by Vikrant Bhateja .. [et al.]. - Singapore :Springer Singapore :2021. - xxi, 797 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.11762194-5357 ;. - Advances in intelligent systems and computing ;176..
Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries -- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph -- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges -- Personalized Structure Balance Theory Based Movie Recommendation System -- Machine Learning Techniques for the Investigation of Phishing Websites.
This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2) Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.
ISBN: 9789811557880$q(electronic bk.)
Standard No.: 10.1007/978-981-15-5788-0doiSubjects--Topical Terms:
384502
Computational intelligence
--Congresses.
LC Class. No.: Q342 / .I58 2020
Dewey Class. No.: 006.3
Evolution in computational intelligenceFrontiers in Intelligent Computing: Theory and Applications (FICTA 2020).Volume 1 /
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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.
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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.
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Intelligent Technologies and Robotics (SpringerNature-42732)
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EB Q342 .I61 2020 2021
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https://doi.org/10.1007/978-981-15-5788-0
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