
- Ishikawa, Hiroshi
Hypothesis Generation and Interpretation
- Design Principles and Patterns for Big Data Applications
- Kartoniert,
- Springer, Berlin
- (2025)
198,00 €
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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 big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques.
The book proposes and explains innovative principles for interpreting hypotheses by integratin ...
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Reihe:
Studies in Big DataDETAILS
- Hypothesis Generation and Interpretation
- Design Principles and Patterns for Big Data Applications
- Ishikawa, Hiroshi
- Kartoniert, xii, 372 S.
- XII, 372 p. 177 illus., 125 illus. in color.
- Sprache: Englisch
- 235 mm
- ISBN-13: 978-3-031-43542-3
- Titelnr.: 97856360
- Gewicht: 651 g
- Springer, Berlin (2025)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com
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