A hybrid OLAP-association rule mining based quality management system for extracting defect patterns in the garment industry.
C. K. H. LeeKing Lun ChoyGeorge T. S. HoKwai-Sang ChinKris M. Y. LawYing Kei TsePublished in: Expert Syst. Appl. (2013)
Keyphrases
- association rule mining
- management system
- pattern discovery
- market basket analysis
- data mining techniques
- association rules
- data mining
- pattern extraction
- interesting patterns
- association rule mining algorithms
- association mining
- association rule discovery
- interestingness measures
- mining algorithm
- itemsets
- condensed representations
- apriori algorithm
- frequent itemsets
- association rule mining algorithm
- knowledge discovery
- data warehouse
- pattern mining
- rule mining
- associative classification
- frequent itemset mining
- discovered knowledge
- positive and negative association rules
- discovered association rules
- mining association rules
- genetic network programming
- interesting rules
- association patterns
- database
- multi dimensional
- business intelligence
- association rules mining
- frequent patterns
- frequent sets
- rule discovery
- transactional databases
- data model
- temporal association rules
- weighted association rule mining
- xml documents
- data warehousing
- classification rule mining
- data cube
- metadata
- database systems
- frequent item sets