@inproceedings{oai:kutarr.kochi-tech.ac.jp:00000853,
 author = {Fukui, Megumi and Shiraki, Wataru and Inomo, Hitoshi and Yoshida, Ayako},
 book = {Society for Social Management Systems Internet Journal},
 issue = {1},
 month = {Mar},
 note = {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.},
 publisher = {Society for Social Management Systems},
 title = {Evaluation of Characteristic of Venture Business Companies Using Self-Organizing-Map},
 volume = {3},
 year = {2007}
}