Maximum likelihood function used to calculate confidence of association rules in market baskets.
Arijit ChatterjeeWilliam PerrizoPublished in: J. Comput. Methods Sci. Eng. (2012)
Keyphrases
- maximum likelihood
- association rules
- high confidence
- knowledge discovery
- association rule mining
- data mining
- frequent itemsets
- association rules mining
- association mining
- data mining techniques
- diffusion model
- confidence level
- rule mining
- gaussian distribution
- associative classification
- confidence measure
- market basket data
- likelihood function
- stock price
- mining algorithm
- maximum a posteriori
- classification rules
- itemsets
- decision making