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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cheng Tiexin Wang Hongqin Chen Mei |
| Copyright Year | 2007 |
| Description | Author affiliation: Tianjin Polytech. Univ., Tianjin (Cheng Tiexin; Wang Hongqin; Chen Mei) |
| Abstract | At present, the project success rate is generally far from satisfaction in China and overseas, in the meanwhile, the losses and wastes of projects are serious. One of the reasons for them is that knowledge management is not applied or improperly applied in the project management. In this paper, the different classifications of knowledge and expression patterns in project management were reviewed so that the useful knowledge could be extracted from the project database and be reused in other projects. After the analysis about various models of Knowledge Discovery in Database (KDD), the model of KDD based on Multiple Criteria Linear Programming (MCLP) was established, to which Text Mining and Data Mining were applied. With the application of this model, the required patterns of project knowledge were discovered from the project databases, which could be reused in the current project. Finally, the problems of the application of the model were discussed in detail. |
| Starting Page | 580 |
| Ending Page | 585 |
| File Size | 689206 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424412938 |
| DOI | 10.1109/GSIS.2007.4443341 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Text mining Costs Databases Investments Project management Linear programming Knowledge management Vectors Data mining Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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