A multilevel approach to intelligent information filtering: model, system, and evaluation
ACM Transactions on Information Systems (TOIS)
Mining Text Using Keyword Distributions
Journal of Intelligent Information Systems
Mining the World Wide Web: an information search approach
Mining the World Wide Web: an information search approach
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Multipass algorithms for mining association rules in text databases
Knowledge and Information Systems
Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics
Modern Information Retrieval
Web mining for web personalization
ACM Transactions on Internet Technology (TOIT)
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
In Pursuit of Patterns in Data Reasoning from Data The Rough Set Way
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Text Document Categorization by Term Association
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Interpretations of Association Rules by Granular Computing
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
The Rough Set Approach to Association Rule Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
TSP: Mining Top-K Closed Sequential Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Automatic Pattern-Taxonomy Extraction for Web Mining
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Capturing Evolving Patterns for Ontology-based Web Mining
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Learning to classify texts using positive and unlabeled data
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Filtering and Sophisticated Data Processing for Web Information Gathering
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Ontology based web mining for information gathering
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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It is a big challenge to guarantee the quality of association rules in some application areas (e.g., in Web information gathering) since duplications and ambiguities of data values (e.g., terms). This paper presents a novel concept of rough association rules to improve the quality of discovered knowledge in these application areas. The premise of a rough association rule consists of a set of terms (items) and a weight distribution of terms (items). The distinct advantage of rough association rules is that they contain more specific information than normal association rules. It is also feasible to update rough association rules dynamically to produce effective results. The experimental results also verify that the proposed approach is promising.