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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tuan-Dang Nguyen Zreik, K. |
| Copyright Year | 2005 |
| Description | Author affiliation: GREYC, Caen Univ. (Tuan-Dang Nguyen; Zreik, K.) |
| Abstract | Hyperling is a formal, language independent, system dealing with hyperdocuments (Web sites). It observes that links structure and context embed crucial information for both hyperdocument retrieving and hyperdocument mining process. For this we suggest a clustering Hyperling that deals with multilingual hyperdocuments (Web sites). In order to determine the number and frontiers between the different used languages, we adopt a distributional approach to pre process the hyperdocument structure before clustering it. Our main hypothesis considers links related to the same language be regrouped together in a cluster. From this we can conclude that the more important generated clusters represent the dominant languages |
| Starting Page | 578 |
| Ending Page | 582 |
| File Size | 2667909 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780395212 |
| DOI | 10.1109/ICTTA.2006.1684435 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-04-24 |
| Publisher Place | Syria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetohydrodynamics Text analysis Laboratories Clustering algorithms Machine learning Information retrieval Frequency Data mining Statistics Research and development |
| Content Type | Text |
| Resource Type | Article |
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