Creating essential hypothesis and rules in product planning-introducing abductive inference model

Jun Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The abductive inference model has been discussed in the context of business strategy. However, the model seems unrealistic for applications in the real business world. Therefore, this study improves the model by formalizing experimental case studies in a web-based workplace for generating product ideas. The developed model implies the needs for visualizing human's thought process to create hypothesis and rules in product planning is a clue to designing data market place.

Original languageEnglish
Title of host publicationIEEE International Conference on Data Mining Workshops, ICDMW
PublisherIEEE Computer Society
Pages470-476
Number of pages7
Volume2015-January
EditionJanuary
DOIs
Publication statusPublished - 2015 Jan 26
Externally publishedYes
Event14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China
Duration: 2014 Dec 14 → …

Other

Other14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
CountryChina
CityShenzhen
Period14/12/14 → …

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Keywords

  • abductive inference
  • data market place
  • generating ideas
  • hypothetical reasoning

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Nakamura, J. (2015). Creating essential hypothesis and rules in product planning-introducing abductive inference model. In IEEE International Conference on Data Mining Workshops, ICDMW (January ed., Vol. 2015-January, pp. 470-476). [7022633] IEEE Computer Society. https://doi.org/10.1109/ICDMW.2014.63