On Subjective Measures of Interestingness in Knowledge Discovery.
Abraham SilberschatzAlexander TuzhilinPublished in: KDD (1995)
Keyphrases
- objective measures
- knowledge discovery
- interestingness measures
- association rules
- quality assessment
- association rule mining
- data mining
- data analysis
- data mining and knowledge discovery
- machine learning
- quantitative measures
- databases
- evaluation criteria
- user satisfaction
- interesting rules
- learning algorithm
- data mining process
- outlier detection
- knowledge discovery in databases
- discovered patterns
- formal concept analysis
- pattern discovery
- web mining
- data mining algorithms
- text mining
- artificial neural networks
- search engine
- artificial intelligence
- real world