Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval.
Georg RußDetlef D. NauckMirko BöttcherRudolf KrusePublished in: SGAI Conf. (2007)
Keyphrases
- relevance feedback
- information retrieval
- association rules
- information retrieval systems
- formal concept analysis
- query expansion
- document retrieval
- retrieval model
- relevant documents
- retrieval effectiveness
- knowledge discovery
- association rule mining
- user feedback
- user system interaction
- image retrieval
- text retrieval
- active learning
- text mining
- image search
- query refinement
- pseudo relevance feedback
- data mining
- document collections
- information extraction
- search engine
- test collection
- low level features
- feedback information
- feature weighting
- numeric attributes
- sparck jones
- boolean queries
- cbir systems
- concept lattice
- information access
- retrieval systems
- background knowledge
- itemsets