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Titlebook: Recent Advances on Soft Computing and Data Mining; Proceedings of The F Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris Conference proceedi

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書(shū)目名稱(chēng)Recent Advances on Soft Computing and Data Mining
副標(biāo)題Proceedings of The F
編輯Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris
視頻videohttp://file.papertrans.cn/824/823079/823079.mp4
概述Latest research on Soft Computing and Data Mining.Results of the First International Conference on Soft Computing and Data Mining (SCDM - 2014), held June 16-18, 2014 in Johor, Malaysia.Written by exp
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Recent Advances on Soft Computing and Data Mining; Proceedings of The F Tutut Herawan,Rozaida Ghazali,Mustafa Mat Deris Conference proceedi
描述.This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16.th.-18.th., 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into two main topical sections; Data Mining and Soft Computing. The goal of this book is to provide both theoretical concepts and, especially, practical techniques on these exciting fields of soft computing and data mining, ready to be applied in real-world applications. The exchanges of views pertaining future research directions to be taken in this field and the resultant dissemination of the latest research findings makes this work of immense value to all those having an interest in the topics covered. .
出版日期Conference proceedings 2014
關(guān)鍵詞Data Mining; Intelligent Computing; SCDM; SCDM 2014; Soft Computing
版次1
doihttps://doi.org/10.1007/978-3-319-07692-8
isbn_softcover978-3-319-07691-1
isbn_ebook978-3-319-07692-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing Switzerland 2014
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978-3-319-07691-1Springer International Publishing Switzerland 2014
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An Artificial Intelligence Technique for Prevent Black Hole Attacks in MANET,opose an intelligent preventing technique for AODV to prevent black hole attacks, which is called Shortest Secure Path for AODV (SSP-AODV). This intelligent technique is integrated A* and Floyd-Warshall’s algorithms. The simulation is conducted in Network Simulator 2. The results indicate that the p
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CSLMEN: A New Cuckoo Search Levenberg Marquardt Elman Network for Data Classification,ity and Iris classification datasets are used. The simulation results show that the computational efficiency of the proposed CSLMEN training process is highly enhanced when coupled with the Cuckoo Search method.
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