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

Jun Nakamura

doi:10.1109/ICDMW.2014.63

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

Jun Nakamura

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IEEE International Conference on Data Mining Workshops, ICDMW
Publisher	IEEE Computer Society
Pages	470-476
Number of pages	7
Volume	2015-January
Edition	January
DOIs	https://doi.org/10.1109/ICDMW.2014.63
Publication status	Published - 2015 Jan 26
Externally published	Yes
Event	14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 - Shenzhen, China Duration: 2014 Dec 14 → …

Other

Other	14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
Country	China
City	Shenzhen
Period	14/12/14 → …

Fingerprint

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

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 edn, vol. 2015-January, 7022633, IEEE Computer Society, pp. 470-476, 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014, Shenzhen, China, 14/12/14. https://doi.org/10.1109/ICDMW.2014.63

@inproceedings{dbbfe0107b5f4a349a24b70e419be82b,

title = "Creating essential hypothesis and rules in product planning-introducing abductive inference model",

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.",

keywords = "abductive inference, data market place, generating ideas, hypothetical reasoning",

author = "Jun Nakamura",

year = "2015",

month = "1",

day = "26",

doi = "10.1109/ICDMW.2014.63",

language = "English",

volume = "2015-January",

pages = "470--476",

booktitle = "IEEE International Conference on Data Mining Workshops, ICDMW",

publisher = "IEEE Computer Society",

edition = "January",

note = "14th IEEE International Conference on Data Mining Workshops, ICDMW 2014 ; Conference date: 14-12-2014",

}

TY - GEN

T1 - Creating essential hypothesis and rules in product planning-introducing abductive inference model

AU - Nakamura, Jun

PY - 2015/1/26

Y1 - 2015/1/26

N2 - 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.

AB - 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.

KW - abductive inference

KW - data market place

KW - generating ideas

KW - hypothetical reasoning

UR - http://www.scopus.com/inward/record.url?scp=84936879013&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84936879013&partnerID=8YFLogxK

U2 - 10.1109/ICDMW.2014.63

DO - 10.1109/ICDMW.2014.63

M3 - Conference contribution

AN - SCOPUS:84936879013

VL - 2015-January

SP - 470

EP - 476

BT - IEEE International Conference on Data Mining Workshops, ICDMW

PB - IEEE Computer Society

T2 - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014

Y2 - 14 December 2014

ER -

Access to Document

10.1109/ICDMW.2014.63