Mining Sequential Patterns with Negative Conclusions
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
| Hi-index | 0.00 |
The new approach to structure verification of the web hyperlinks is presented in the paper. It utilizes several types of patterns extracted from the web usage data: positive and negative association rules, positive sequential patterns as well as the new kind of patterns - sequential patterns with negative conclusions. All they enable to appraise the usefulness of hyperlinks in both the positive and negative way. Based on this knowledge, the content managers can adequately promote the trustworthy hyper-links and remove the negatively verified ones.