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Semantic-Based Association Rule Mining of Temporal Document Collections
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nørvåg, Kjetil Fivelstad, Ole Kristian |
| Copyright Year | 2007 |
| Abstract | In many contexts today we have documents available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also contain implicit knowledge that can be found by text mining. In this paper we will study association rule mining of temporal document collections, and extend our previous work by 1) performing mining based on semantics as well as 2) studying the impact of appropriate techniques for ranking of rules. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.idi.ntnu.no/grupper/dif/research/technical_report/2007/234_art.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |