Hypothesis Generation and Interpretation Design Principles and Patterns for Big Data Applications /

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 generat...

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Bibliographic Details

Main Author:	Ishikawa, Hiroshi (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Studies in Big Data, 139
Subjects:	Computer science. Database management. Data mining. Machine learning. Big data. System theory. Theory of Computation. Database Management. Data Mining and Knowledge Discovery. Machine Learning. Big Data. Complex Systems.
Online Access:	https://doi.org/10.1007/978-3-031-43540-9
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