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Titlebook: Computational Intelligence in Information Systems; Proceedings of the C Saiful Omar,Wida Susanty Haji Suhaili,Somnuk Phon- Conference proce

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书目名称Computational Intelligence in Information Systems
副标题Proceedings of the C
编辑Saiful Omar,Wida Susanty Haji Suhaili,Somnuk Phon-
视频videohttp://file.papertrans.cn/233/232509/232509.mp4
概述Provides recent research and applications of computational intelligence in information systems.Constitutes the Proceedings of the Computational Intelligence in Information Systems Conference (CIIS 201
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Computational Intelligence in Information Systems; Proceedings of the C Saiful Omar,Wida Susanty Haji Suhaili,Somnuk Phon- Conference proce
描述.This book constitutes the Proceeding of the Computational Intelligence in Information Systems conference (CIIS 2018), held in Brunei, November 16 - 18, 2018. The CIIS conference provides a platform for researchers to exchange the latest ideas and to present new research advances in general areas related to computational intelligence and its application. The 19 revised papers presented in this book have been carefully selected from 41 submissions..The Conference contributes to major fields of the Computing and Information Systems in theoretical and practical aspects. This include Computational Intelligence Techniques, Data Mining, Big Data, the Internet of Things (IoTs), Machine Learning, Predictive Analytics, Product and Design technology, Smart Products, Human Centered Design (HCD), Additive Manufacturing, Information Security, Computer Networks and Cyber Technologies.. .
出版日期Conference proceedings 2019
关键词Intelligent Systems; Computational Intelligence; Information Systems; CIIS 2018; Intelligent Computing
版次1
doihttps://doi.org/10.1007/978-3-030-03302-6
isbn_softcover978-3-030-03301-9
isbn_ebook978-3-030-03302-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Networks take over the device of their victim and performs malicious activities on its system. Although many solutions have been developed to address the detection of Botnet in real time, these solutions are still prone to several problems that may critically affect the efficiency and capability of identif
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Test Case and Requirement Selection Using Rough Set Theory and Conditional Entropy test cases becomes a crucial task, where there is an increment of source codes and a rapid change of the requirements. Therefore, the selection of effective test cases becomes problematic, when the test cases are redundant and having common requirements. Thus, new challenges arose to reduce the unn
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A Performance Study of High-End Fog and Fog Cluster in iFogSimof the IoT-generated data. Existing studies have shown that fog computing is able to reduce the latency and provide other benefits in the IoT-fog-cloud environment. While fog is heterogeneous since can be any device with computing, networking and storage ability, its scalability must be ensured. Cur
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Load Balancing in Mobile Cloud Computing Using Bin Packing’s First Fit Decreasing Methodireless networks, which enables the mobile application developers can create platform independent mobile applications for the users. Cloud Computing is the base for Mobile Cloud Computing to distribute its tasks among various mobile applications. Due to the rapid growth of mobile and wireless device
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Independent and Distributed Access to Encrypted Cloud Databases the world. Since data in the cloud is going to be placed online, it is important that these data in the clouds are well secured. The most important security challenge with data in the clouds is that the client was not aware of where the data is stored. Which may be preyed on by 3rd party clients or
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