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Titlebook: Emerging Trends in Intelligent Computing and Informatics; Data Science, Intell Faisal Saeed,Fathey Mohammed,Nadhmi Gazem Conference proceed

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發(fā)表于 2025-3-21 17:39:34 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Emerging Trends in Intelligent Computing and Informatics
副標(biāo)題Data Science, Intell
編輯Faisal Saeed,Fathey Mohammed,Nadhmi Gazem
視頻videohttp://file.papertrans.cn/309/308513/308513.mp4
概述Focuses on recent topics in data science, intelligent information systems and smart computing.Presents emerging trends in intelligent computing and informatics.Includes the outcomes of the 4th Interna
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Emerging Trends in Intelligent Computing and Informatics; Data Science, Intell Faisal Saeed,Fathey Mohammed,Nadhmi Gazem Conference proceed
描述.This book presents the proceedings of the 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019), which was held in Pulai Springs Resort, Johor, Malaysia, on September 22–23, 2019. Featuring 109 papers, the book covers hot topics such as artificial intelligence and soft computing, data science and big data analytics, internet of things (IoT), intelligent communication systems, advances in information security, advances in information systems and software engineering..
出版日期Conference proceedings 2020
關(guān)鍵詞Machine Learning; Deep Learning; Multi-Objective Optimization; Computational Intelligence; Neural Networ
版次1
doihttps://doi.org/10.1007/978-3-030-33582-3
isbn_softcover978-3-030-33581-6
isbn_ebook978-3-030-33582-3Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Review on Feature Selection Methods for Gene Expression Data Classificationion methods, classifiers, and accuracy results. Feature selection methods are considered as a pre-processing step which plays a vital role in the effectiveness of a classification. This paper showed that applying filter methods such as t-Test, Pearson’s Correlation Coefficient (PCC), and Bhattachary
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A Study on the Impact of Crowd-Sourced Rating on Tweets for the Credibility of Information Spreadingample group of 31 respondents to know the respondent’s feedback on the prototype. The pilot study shows that most of the respondents were agree with the capabilities of crowdsourcing rating feature in identifying the accuracy and credibility of that information. The prototype design and the question
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Context-Aware Ontology for Dengue Surveillance information flow and sharing between these main concepts. Result obtained could be used as support when requesting deployment of vector control activities. An entomologist expert validated the information flow of the proposed ontology while the ontology quality is measured following ontology qualit
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