Principal component analysis and randomness test for big data analysis : practical applications of RMT-based technique

• Material Type: 図書
• ISBN: 9789811939662; 9811939667; 9789811939679 (electronic bk.); 9811939675 (electronic bk.)
• ISSN (series): 2198-4204
• Title: Principal component analysis and randomness test for big data analysis : practical applications of RMT-based technique
• Author/Editor: Mieko Tanaka-Yamawaki, Yumihiko Ikura
• Series Title: Evolutionary economics and social complexity science ; volume 25
• Title Heading: Evolutionary economics and social complexity science ; v.25
• Author Heading: Tanaka-Yamawaki, Mieko [田中(山脇)美栄子]; Ikura, Yumihiko [井倉弓彦]
• Publication, Distribution, etc.: Singapore : Springer (出版)
• Publication Date: [2023]
• Publication Date (W3CDTF): 2023
• Extent: vii, 152 pages
• Size: 25 cm
• Place of Publication (Country Code): SG
• Text Language Code: eng
• Content Type: text
• Media Type: unmediated
• Carrier Type: volume
• Subject Heading: Big data--Economic aspects; Principal components analysis; Principal components analysis.
• LCC: QA76.9.B45
• DDC: 005.7
• NDLC: M151
• Target Audience: 一般
• Note (Bibliography): Includes bibliographical references
• Collection (particular): 日本関係外国語図書
• Holding library: 国立国会図書館
• Call No.: M151-D34
• Related Material (DOI): 10.1007/978-981-19-3967-9
• 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): 032346592; http://id.ndl.go.jp/bib/032346592
• Cataloging Rule: RDA
• Bibliographic Record Category (NDL): 211

• Contents: Big Data Analysis by Means of RMT-Oriented MethodologiesFormulation of the RMT-PCARMT-PCA and Stock Markets...
• Summary, etc.: This book presents the novel approach of analyzing large-sized rectangular-shaped numerical data (so-called big data). The essence of this approach is...