Intelligent data analysis for COVID-19 pandemic

• Material Type: 図書
• ISBN: 9789811615733; 9789811615740 (electronic bk.); 9811615748 (electronic bk.); 981161573X
• ISSN (series): 2524-7565
• Title: Intelligent data analysis for COVID-19 pandemic
• Author/Editor: M. Niranjanamurthy, Siddhartha Bhattacharyya, Neeraj Kumar, editors
• Series Title: Algorithms for intelligent systems
• Title Heading: Algorithms for intelligent systems. 2524-7565
• Author Heading: Niranjanamurthy, M.; Bhattacharyya, Siddhartha, 1975-; Kumar, Neeraj (Computer scientist)
• Publication, Distribution, etc.: Singapore : Springer (出版)
• Publication Date: [2021]; 著作権日付 : ©2021
• Publication Date (W3CDTF): 2021
• Extent: xix, 370 pages
• Other physical details: illustrations (some color)
• Size: 25 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: COVID-19 Pandemic, 2020---Data processing; Electronic data processing.
• LCC: RA644.C67
• DDC: 362.1962/414
• NDLC: EG244
• Target Audience: 一般
• Note (General): Includes index
• Holding library: 国立国会図書館
• Call No.: EG244-D122
• Related Material (DOI): 10.1007/978-981-16-1574-0
• Data Provider (Database): 国立国会図書館 : 国立国会図書館蔵書; https://ndlsearch.ndl.go.jp
• Bibliographic ID (NDL): 031496573; http://id.ndl.go.jp/bib/031496573
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case StudyChapter 2. The Role of Interne...
• Summary, etc.: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, na...