Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Data mining: concepts and techniques
Data mining: concepts and techniques
Ontology-guided knowledge discovery in databases
Proceedings of the 1st international conference on Knowledge capture
Machine Learning
Prospects and challenges for multi-relational data mining
ACM SIGKDD Explorations Newsletter
IEEE Transactions on Knowledge and Data Engineering
A Delphi-based approach to developing expert systems with the cooperation of multiple experts
Expert Systems with Applications: An International Journal
Artificial Intelligence Review
Data Mining With Ontologies: Implementations, Findings and Frameworks
Data Mining With Ontologies: Implementations, Findings and Frameworks
Marketing database knowledge extraction: towards a domain ontology
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
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The knowledge extraction in databases has being known as a long term and interactive project. Nevertheless the complexity and different options for the knowledge achievement here is a research opportunity that could be explored, throughout the ontologies support. This support may be used for knowledge sharing and reuse. This work describes a research of an ontological approach for leveraging the semantic content of ontologies to improve knowledge discovery in marketing databases. Here we analyze how ontologies and knowledge discovery process may interoperate and present our efforts to prose a possible framework for a formal integration.