Data mining and the Web: past, present and future
Proceedings of the 2nd international workshop on Web information and data management
Information retrieval and artificial intelligence
Artificial Intelligence - Special issue on applications of artificial intelligence
Modern Information Retrieval
Enabling Concept-Based Relevance Feedback for Information Retrieval on the WWW
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Research Issues in Web Data Mining
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Integrating Web Usage and Content Mining for More Effective Personalization
EC-WEB '00 Proceedings of the First International Conference on Electronic Commerce and Web Technologies
Phrase-based Document Similarity Based on an Index Graph Model
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
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
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Multi-Tier Granule Mining for Representations of Multidimensional Association Rules
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Deploying Approaches for Pattern Refinement in Text Mining
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Rough Association Rule Mining in Text Documents for Acquiring Web User Information Needs
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Mining rough association from text documents
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
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Mismatch and overload are two fundamental issues regarding the efficiency of Web information gathering. To provide a satisfactory solution, this paper presents a Web information gathering system that encapsulates two phases: the filtering and sophisticated data processing. The objective of the filtering is to quickly filter out most irrelevant data in order to avoid mismatch. The phase of the sophisticated data processing can use more sophisticated techniques without carefully considering time complexities. The second phase is for solving the problem of the information overload.