TY - GEN
T1 - Creating essential hypothesis and rules in product planning-introducing abductive inference model
AU - Nakamura, Jun
N1 - Publisher Copyright:
© 2014 IEEE.
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
T3 - IEEE International Conference on Data Mining Workshops, ICDMW
SP - 470
EP - 476
BT - Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
A2 - Zhou, Zhi-Hua
A2 - Wang, Wei
A2 - Kumar, Ravi
A2 - Toivonen, Hannu
A2 - Pei, Jian
A2 - Zhexue Huang, Joshua
A2 - Wu, Xindong
PB - IEEE Computer Society
T2 - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014
Y2 - 14 December 2014
ER -