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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Delisle, S. |
| Copyright Year | 2005 |
| Description | Author affiliation: Departement de Mathematiques et d'Informatique, Univ. du Quebec a Trois-Rivieres, Que., Canada (Delisle, S.) |
| Abstract | Despite a high level of activity and a large number of researchers involved, current research in data mining is plagued with several serious problems that should be regarded as top-priority challenges. First, large-scale, visible results and benefits seem rare. Second, the field has become utterly specialized and a lot of work remains to be done at the "big picture" level. Finally, data mining is very poorly integrated with the decision support level. This paper concentrates on the latter challenge and presents a research proposal in that direction. |
| Starting Page | 720 |
| Ending Page | 724 |
| File Size | 163064 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769524249 |
| ISSN | 15294188 |
| DOI | 10.1109/DEXA.2005.189 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-22 |
| Publisher Place | Denmark |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data mining Computational intelligence Delta modulation Large-scale systems Application software Databases Proposals Internet Ontologies Computer science |
| Content Type | Text |
| Resource Type | Article |
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