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

Author(s)

• Ishikawa, Hiroshi

Bibliographic Information

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

Hiroshi Ishikawa

（Studies in big data, 139）

Springer, c2024

Note

Includes bibliographical references and index

• NCID: BD06500034
• ISBN:
  • 9783031435393
• Country Code: sz
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Cham
• Pages/Volumes: xii, 372 p.
• Size: 25 cm
• Classification:
  • DC23 : 006.312
• Subject Headings:
  • LCSH : Big data
  • LCSH : Computational intelligence
  • LCSH : Artificial intelligence
• Parent Bibliography ID:
  • BB14129855