Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
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
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
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
Communications of the ACM
BIG: an agent for resource-bounded information gathering and decision making
Artificial Intelligence - Special issue on Intelligent internet systems
Mining the World Wide Web: an information search approach
Mining the World Wide Web: an information search approach
Discovering unexpected information from your competitors' web sites
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining web logs for prediction models in WWW caching and prefetching
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
From adaptive hypermedia to the adaptive web
Communications of the ACM - The Adaptive Web
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
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
Computer
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Information Fusion for Intelligent Agent-Based Information Gathering
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
COMPSAC '00 24th International Computer Software and Applications Conference
User Profile Model: A View from Artificial Intelligence
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Database Mining on Derived Attributes
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
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
Web Intelligence
Text Document Categorization by Term Association
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Investigative Profiling with Computer Forensic Log Data and Association Rules
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
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
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
The Rough Set Approach to Association Rule Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Building Text Classifiers Using Positive and Unlabeled Examples
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Characterizing Web Usage Regularities with Information Foraging Agents
IEEE Transactions on Knowledge and Data Engineering
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
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 Interesting Topics for Web Information Gathering and Web Personalization
WI '05 Proceedings of the 2005 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
Envisioning intelligent information technologies through the prism of web intelligence
Communications of the ACM - Emergency response information systems: emerging trends and technologies
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
Automatically Acquiring Training Sets for Web Information Gathering
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Utilizing Search Intent in Topic Ontology-Based User Profile for Web Mining
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Mining world knowledge for analysis of search engine content
Web Intelligence and Agent Systems
Learning to classify texts using positive and unlabeled data
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Web intelligence (WI): what makes wisdom web?
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Mining rough association from text documents for web information gathering
Transactions on rough sets VII
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
Rough association mining and its application in web information gathering
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial 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
Extracting significant Website Key Objects: A Semantic Web mining approach
Engineering Applications of Artificial Intelligence
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There exists a gap betweenWeb mining and the effectiveness of using Web data. The main reason is that we cannot simply utilize and maintain the discovered knowledge using the traditional knowledge-based techniques due to the huge amount of discovered patterns, many noise in discovered patterns and even some useful patterns with uncertainties. In this chapter we discuss ontology-based problem solving approaches for building a bridge betweenWeb mining and the effectiveness of using Web data, which tend to automatically construct and maintain ontologies for representations, application and updating of discovered knowledge. We mainly discuss two models: the pattern taxonomy model and the ontology mining model. The former uses the up-to-date techniques of association mining and latter uses granule mining that directly discovers granules rather than patterns.