| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2018-02-06 |
| タイトル |
|
|
タイトル |
Evaluation of Characteristic of Venture Business Companies Using Self-Organizing-Map |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Venture business companies |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Characteristic analysis |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Text mining method |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
Self-Organizing-Map (SOM) |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 著者 |
Fukui, Megumi
Shiraki, Wataru
Inomo, Hitoshi
Yoshida, Ayako
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
It is expected that the activities of venture business companies bring the activation of Japanese economy. However, it is difficult to establish continue the venture business companies successfully, because they have various problems should be solved such as the financial affairs, staff training, business development, etc. In this study, the characteristic analysis of successful venture business companies is performed to consider some new effective support programs. In analysis, the text mining method is used to extract hidden information from a large amount of text data, and then the general features are evaluated using the Self-Organizing-Map (SOM) that can analyze multi-dimensional information. Several schemes are proposed through the characteristic analysis of seventy successful venture business companies. |
| 書誌情報 |
Society for Social Management Systems Internet Journal
巻 3,
号 1,
発行日 2007-03
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2432-552X |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 出版者 |
|
|
出版者 |
Society for Social Management Systems |
SMS07-140.pdf (285.4 kB)
