Influence of Similarity Measures for Rules and Clusters on the Efficiency of Knowledge Mining in Rule-Based Knowledge Bases.
Agnieszka Nowak-BrzezinskaTomasz RybotyckiPublished in: BDAS (2017)
Keyphrases
- knowledge base
- knowledge sources
- expert systems
- production rules
- similarity measure
- knowledge acquisition
- domain experts
- rule base
- knowledge representation
- knowledge discovery
- knowledge based systems
- inference engine
- domain knowledge
- knowledge extraction
- rule based systems
- data mining techniques
- rule generation
- meta rules
- expert knowledge
- association rules
- meta knowledge
- discovered knowledge
- logic rules
- description logics
- knowledge management
- background knowledge
- association rule mining
- data mining
- reasoning process
- text mining
- data points
- hidden knowledge
- data mining tools
- logical rules
- rule mining
- rule based reasoning
- positive and negative association rules
- actionable knowledge
- knowledge from domain experts
- subspace clusters
- procedural knowledge
- formal representation
- knowledge engineers
- mining association rules
- clustering algorithm
- interesting patterns
- cluster analysis