Using imprecise user knowledge to reduce redundancy in Association Rules.
Julio DiazCarlos MolinaM. Amparo VilaPublished in: IFSA-EUSFLAT (2015)
Keyphrases
- association rules
- knowledge discovery
- user model
- data mining techniques
- discovered rules
- knowledge acquisition
- domain knowledge
- formal concept analysis
- data mining
- knowledge base
- prior knowledge
- knowledge management
- user interface
- end users
- redundant rules
- design process
- expert systems
- uncertain information
- knowledge sources
- mining algorithm
- human users
- information overload
- interesting rules
- actionable knowledge
- association mining
- human experts
- association rule mining
- user preferences
- user interaction
- recommender systems