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Titlebook: Intelligent and Evolutionary Systems; The 19th Asia Pacific Kittichai Lavangnananda,Somnuk Phon-Amnuaisuk,Jona Conference proceedings 2016 T

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发表于 2025-3-21 16:48:30 | 显示全部楼层 |阅读模式
书目名称Intelligent and Evolutionary Systems
副标题The 19th Asia Pacific
编辑Kittichai Lavangnananda,Somnuk Phon-Amnuaisuk,Jona
视频video
概述Presents recent research on Intelligent and Evolutionary Systems by leading experts from the Asia Pacific region.Proceedings of the 19th Asia Pacific Symposium on Intelligent and Evolutionary Systems
丛书名称Proceedings in Adaptation, Learning and Optimization
图书封面Titlebook: Intelligent and Evolutionary Systems; The 19th Asia Pacific Kittichai Lavangnananda,Somnuk Phon-Amnuaisuk,Jona Conference proceedings 2016 T
描述.This PALO volume constitutes the Proceedingsof the 19.th. Asia Pacific Symposium on Intelligent and EvolutionarySystems (IES 2015), held in Bangkok, Thailand, November 22-25, 2015. The IES seriesof conference is an annual event that was initiated back in 1997 in Canberra,Australia. IES aims to bring together researchers from countries of the AsianPacific Rim, in the fields of intelligent systems and evolutionary computation,to exchange ideas, present recent results and discuss possible collaborations.Researchers beyond Asian Pacific Rim countries are also welcome and encouragedto participate. The theme for IES 2015 is “.Transforming Big Data intoKnowledge and Technological Breakthroughs.”. ..The host organization for IES 2015 is theSchool of Information Technology (SIT), King Mongkut’s University of TechnologyThonburi (KMUTT), and it is technically sponsored by the International NeuralNetwork Society (INNS). IES 2015 is collocated with three other conferences;namely, The 6th International Conference on Computational Systems-Biology andBioinformatics 2015 (CSBio 2015), The 7th International Conference on Advancesin Information Technology 2015 (IAIT 2015) and The 10th InternationalC
出版日期Conference proceedings 2016
关键词Intelligent Systems; Nature Inspired Computational Systems; IES2015; Data Analytics; Big Data; Artificial
版次1
doihttps://doi.org/10.1007/978-3-319-27000-5
isbn_softcover978-3-319-38743-7
isbn_ebook978-3-319-27000-5Series ISSN 2363-6084 Series E-ISSN 2363-6092
issn_series 2363-6084
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 22:41:53 | 显示全部楼层
Proceedings in Adaptation, Learning and Optimizationhttp://image.papertrans.cn/i/image/470204.jpg
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https://doi.org/10.1007/978-3-319-27000-5Intelligent Systems; Nature Inspired Computational Systems; IES2015; Data Analytics; Big Data; Artificial
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978-3-319-38743-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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A New Adaptive Genetic Algorithm for Community Structure Detection frequently used in literature has been used as test data and obtained results have been compared with 10 different algorithms. After analyzing the test results it has been observed that the proposed algorithm gives successful results for determination of meaningful communities from complex networks.
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A New Approach for Wrapper Feature Selection Using Genetic Algorithm for Big Datature selection for big data based on a random search using genetic algorithm and prior information. The new approach was tested on 2 biological dataset and compared to two well known wrapper feature selection approaches and results illustrate that our approach gives the best performances.
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Recursive Binary Tube Partitioning for Classificationore vector. Our experiment was performed on synthesized datasets of varying sizes with 2, 4, 6 and 8 attributes. The results showed the improvement over the conditional inference tree and C4.5 tree via the F-measure and G-measure score.
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