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Hypothesis Generation and Interpretation

Design Principles and Patterns for Big Data Applications

  • Author(s) Hiroshi Ishikawa
  • Publisher Published by Springer Copyright © 2024
  • "ISBN-13 9783031435393"
  • Format Reflowable Layout

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Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications is written by Hiroshi Ishikawa and published by Springer. The Digital and eTextbook ISBNs for Hypothesis Generation and Interpretation are 9783031435409, 3031435400 and the print ISBNs are 9783031435393, 3031435397. Save up to 80% versus print by going digital with VitalSource.

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