Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression.
Izwan Nizal Mohd ShaharaneeFedja HadzicTharam S. DillonPublished in: Australasian Conference on Artificial Intelligence (2009)
Keyphrases
- logistic regression
- association rules
- decision trees
- classification rules
- data mining
- association rule mining
- knowledge discovery
- discovered rules
- interestingness measures
- interesting rules
- support vector
- itemsets
- predictive power
- data mining techniques
- credit scoring
- odds ratio
- naive bayes
- loss function
- breast cancer
- chi square
- linear support vector machines
- logistic regression models
- logistic model
- rule sets
- random forests
- fold cross validation
- generalized linear models
- chi square test
- neural network
- frequent itemsets
- predictor variables
- least squares
- frequent patterns
- bayesian classifiers
- genetic programming
- text classification
- natural language processing
- training data
- machine learning
- data sets