Filtering and Sophisticated Data Processing for Web Information Gathering
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Effective pattern taxonomy mining in text documents
Proceedings of the 17th ACM conference on Information and knowledge management
Granule Oriented Data Warehouse Model
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Concept-Based, Personalized Web Information Gathering: A Survey
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Ontology based web mining for information gathering
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
International Journal of Intelligent Information and Database Systems
A knowledge-based model using ontologies for personalized web information gathering
Web Intelligence and Agent Systems
Hi-index | 0.00 |
It is a big challenge to promise the quality of multidimensional association mining. The essential issue is how to represent meaningful multidimensional association rules efficiently. Currently we have not found satisfactory approaches for solving this challenge because of the complicated correlation between attributes. Multi-tier granule mining is an initiative for solving this challenging issue. It divides attributes into some tiers and then compresses the large multidimensional database into granules at each tier. It also builds association mappings to illustrate the correlation between tiers. In this way, the meaningful association rules can be justified according to these association mappings.