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図書

Hypothesis generation and interpretation : design principles and patterns for big data applications (Studies in big data ; volume 139)

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Hypothesis generation and interpretation : design principles and patterns for big data applications

(Studies in big data ; volume 139)

Call No. (NDL)
M151-D38
Bibliographic ID of National Diet Library
033097193
Material type
図書
Author
Hiroshi Ishikawa
Publisher
Springer
Publication date
[2024]
Material Format
Paper
Capacity, size, etc.
xii, 372 pages ; 25 cm
NDC
-
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Notes on use

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illustrations (some color)

Detailed bibliographic record

Contents：

Basic ConceptHypothesisScience and Hypothesis...

Summary, etc.：

This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of b...

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Paper

Material Type
図書
ISBN
9783031435393 hardcover
3031435397
9783031435409 (electronic bk.)
3031435400 (electronic bk.)
ISSN (series)
2197-6503
Title
Hypothesis generation and interpretation : design principles and patterns for big data applications
Author/Editor
Hiroshi Ishikawa
Series Title
Studies in big data ; volume 139
Title Heading
Studies in big data ; v. 139. 2197-6511
Author Heading
石川, 博, 1956- イシカワ, ヒロシ, 1956- ( 00347144 )Authorities
Publication, Distribution, etc.
Cham, Switzerland : Springer (出版)
Publication Date
[2024]