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
Multipass algorithms for mining association rules in text databases
Knowledge and Information Systems
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Ontology-Based Web Mining Model: Representations of User Profiles
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Interpretations of Association Rules by Granular Computing
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
Extended random sets for knowledge discovery in information systems
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
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It is indubitable that we can obtain numerous discovered patterns using a Web mining model However, there are many meaningless patterns, and also some discovered patterns might include uncertainties as well Therefore, the difficult problem is how to utilize and maintain the discovered patterns for the effectiveness of using the Web data This paper presents a Web data mining and reasoning model for this problem The objective of mining is automatic ontology extraction; whereas, the objective of reasoning is the utilization and maintenance of discovered knowledge on the ontology The model also deals with pattern evolution.