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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications (Studies in Big Data, 139) free ebook download

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Computer Science

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Author(s):	Hiroshi Ishikawa

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	3031435397
Pages:	384	OCR:		Quality:		ISBN13:
Uploader:	alex21s	Upload Date:	1/7/2024 6:00:53 PM

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3031435397 pdf
3031435397 pdf
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 integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on social infrastructure applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases.
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3220791	Book	https://nitroflare.com/view/23DB7CD99EFE...		0.00	alex21s

Tags: Applications Data Data Design Generation Hypothesis Interpretation Patterns Principles Studies

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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications (Studies in Big Data, 139) free ebook download

Category: Computer Science

Description: Click to see full description

Category:
Computer Science