| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8050480 | Procedia CIRP | 2018 | 5 Pages |
Abstract
This study aims to build a supporting method for consulting service companies so that the companies can respond to client's demand regardless of the expertise of consultants. Occurrence of future problems in client companies is predicted by using text mining with data taken from a consulting company; correspondence analysis and DEA discriminant analysis are employed. Computer experiments are conducted to verify the effectiveness of the proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Ruriko Watanabe, Nobutada Fujii, Daisuke Kokuryo, Toshiya Kaihara, Yoshinori Onishi, Yoichi Abe, Ryoko Santo,