Proceedings (National Conferences of The Society of Project Management)
2002.Spring
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Studies of Finding Technical Stakeholders from Electrical Data using Text Mining Method
Mayumi I. Kamata
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CONFERENCE PROCEEDINGS OPEN ACCESS

Pages 70-72

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Abstract
In recent years, Web related system development projects show the trends of smaller and faster. Because, for the Enterprises who are challenging to survival, the smaller and faster the projects are, the more they have the chance to win. Also, my previous studies indicated that the plural departments carry one small project. Furthermore, some cases show that requirements have defined by the technical leaders who are influential to project members and project owners. This paper indicates the report of experimental studies to discover hidden customers' requirements and technical stakeholders using text mining methods of "Chance Discovery". I have analyzed the internal discussion type database which contains text data written in Japanese using a text mining method "IDM : Influene Diffusion Model". The result shows the possibility of applying this method to discover customers' hidden requirements and technical stakeholders who are influential.
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© 2002 The Society of Project Managemen
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