Android Malware Detection Method Based on Frequent Pattern and Weighted Naive Bayes.
Jingwei LiBozhi WuWeiping WenPublished in: CNCERT (2018)
Keyphrases
- detection method
- naive bayes
- frequent patterns
- malware detection
- augmented naive bayes
- frequent pattern mining
- decision trees
- text classification
- classification accuracy
- logistic regression
- naive bayes classifier
- detection algorithm
- text categorization
- pattern mining
- training data
- tree structure
- association rules
- bayesian classifier
- itemsets
- classification algorithm
- data structure
- interesting patterns
- bayesian networks
- cost sensitive
- frequent itemsets
- test instances
- feature selection
- sequential patterns
- uncertain data
- machine learning
- information gain
- bayesian network classifiers
- computer vision
- transactional databases
- base classifiers
- independence assumption
- averaged one dependence estimators
- data sets
- training set
- high dimensional
- probability estimates
- class probabilities
- conditional independence assumption
- small number