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Titlebook: Data Intelligence and Cognitive Informatics; Proceedings of ICDIC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings

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書目名稱Data Intelligence and Cognitive Informatics
副標題Proceedings of ICDIC
編輯I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga
視頻videohttp://file.papertrans.cn/263/262838/262838.mp4
概述Presents research works in the field of data intelligence.Discusses results of ICDICI 2020 held in Tirunelveli, India, during 8–9 July 2020.Serves as a reference for researchers and practitioners in a
叢書名稱Algorithms for Intelligent Systems
圖書封面Titlebook: Data Intelligence and Cognitive Informatics; Proceedings of ICDIC I. Jeena Jacob,Selvanayaki Kolandapalayam Shanmuga Conference proceedings
描述This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.
出版日期Conference proceedings 2021
關鍵詞Intelligent Information Systems; Cognitive Intelligence; Industrial Internet of Things; Cognitive Human
版次1
doihttps://doi.org/10.1007/978-981-15-8530-2
isbn_softcover978-981-15-8532-6
isbn_ebook978-981-15-8530-2Series ISSN 2524-7565 Series E-ISSN 2524-7573
issn_series 2524-7565
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Clustering Phenomena in Atoms and Nucleiunts, and related descriptions of bills and invoices. The required information extracted from the invoice is exported into a database for future reference. The records from these invoices or bills can be used extensively later on for statistical analysis or in machine learning.
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Machine Learning Approach for Analysis of the Company Performance Based on Fundamental Data,dom forest algorithm. The paper also discusses this grading approach to compare the companies in a specific sector. All these machine learning methods are used to analyze the companies and generate a detailed fundamental study.
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