Association Rules Discovery via Approximate Method from Probabilistic Database.
Lihai NieZhiyang LiWenyu QuPublished in: Trustcom/BigDataSE/ISPA (2016)
Keyphrases
- database
- high accuracy
- significant improvement
- cost function
- experimental evaluation
- data mining
- high precision
- dynamic programming
- mining association rules
- association rule mining
- detection method
- clustering method
- support vector machine svm
- edge detection
- knowledge discovery
- probabilistic model
- computational cost
- data model
- k means
- relational databases
- association rules
- computational complexity
- databases