On Reducing Redundancy in Mining Relational Association Rules from the Semantic Web.
Joanna JózefowskaAgnieszka LawrynowiczTomasz LukaszewskiPublished in: RR (2008)
Keyphrases
- association rules
- association rule mining
- mining algorithm
- knowledge discovery
- association mining
- mining association rules
- itemsets
- data mining
- frequent itemsets
- data mining techniques
- frequent patterns
- market basket data
- association rules mining
- quantitative association rules
- weighted association rules
- interesting association rules
- apriori algorithm
- discovering association rules
- rule mining
- association rule discovery
- redundant rules
- market basket analysis
- fuzzy association rules
- transactional databases
- peculiarity oriented mining
- interesting patterns
- multi relational
- semantic web
- association rule mining algorithm
- discovered knowledge
- positive and negative association rules
- rules discovered
- relational data
- databases and data warehouses
- interestingness measures
- frequent pattern mining
- pattern discovery
- transaction data
- frequent item sets
- pattern mining
- data mining algorithms
- interesting rules
- text mining
- databases
- minimum support and minimum confidence
- association patterns
- discovered rules
- rule sets
- relational databases
- formal concept analysis
- frequent itemset mining
- relational learning
- data mining applications
- linked data
- sequential patterns
- privacy preserving
- knowledge representation
- algorithm for mining association rules
- rule generation
- data structure
- decision trees
- knowledge base