The Use of Background Knowledge in Decision Tree Induction
Machine Learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Ontology-guided knowledge discovery in databases
Proceedings of the 1st international conference on Knowledge capture
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
The Role of Domain Knowledge in a Large Scale Data Mining Project
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
A Machine Learning Tool Designed for a Model-Based Knowledge Acquisition Approach
Proceedings of the 7th European Workshop on Knowledge Acquisition for Knowledge-Based Systems
Applied Intelligence
IEEE Transactions on Knowledge and Data Engineering
Ontology Matching
Domain ontology driven data mining: a medical case study
Proceedings of the 2007 international workshop on Domain driven data mining
Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Mining Association Rules with Ontological Information
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
Semantic Analytical Reports: A Framework for Post-processing Data Mining Results
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics
PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics
An XML format for association rule models based on the GUHA method
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
TMRAP – topic maps remote access protocol
TMRA'05 Proceedings of the First international conference on Charting the Topic Maps Research and Applications Landscape
tolog – a topic maps query language
TMRA'05 Proceedings of the First international conference on Charting the Topic Maps Research and Applications Landscape
Association rule mining following the web search paradigm
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
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SEWEBAR-CMS is a set of extensions for the Joomla! Content Management System (CMS) that extends it with functionality required to serve as a communication platform between the data analyst, domain expert and the report user. SEWEBAR-CMS integrates with existing data mining software through PMML. Background knowledge is entered via a web-based elicitation interface and is preserved in documents conforming to the proposed Background Knowledge Exchange Format (BKEF) specification. SEWEBAR-CMS offers web service integration with semantic knowledge bases, into which PMML and BKEF data are stored. Combining domain knowledge and mining model visualizations with results of queries against the knowledge base, the data analyst conveys the results of the mining through a semi-automatically generated textual analytical report to the end user. The paper demonstrates the use of SEWEBAR-CMS on a real-world task from the cardiological domain and presents a user study showing that the proposed report authoring support leads to a statistically significant decrease in the time needed to author the analytical report.