Hiding Sensitive XML Association Rules With Supervised Learning Technique.
Khalid IqbalSohail AsgharAbdulrehman MirzaPublished in: Intell. Inf. Manag. (2011)
Keyphrases
- association rules
- supervised learning
- xml documents
- protect sensitive
- xml data
- knowledge discovery
- data mining
- association rule mining
- unsupervised learning
- xml schema
- itemsets
- mining association rules
- markup language
- training data
- active learning
- machine learning
- metadata
- xml queries
- data mining techniques
- training set
- association mining
- supervised machine learning
- data integration
- formal concept analysis
- xml databases
- mining algorithm
- mining of association rules
- data exchange
- frequent itemsets
- association rules mining
- databases
- reinforcement learning
- data model
- rule sets
- xml format
- semi supervised
- apriori algorithm
- learning tasks
- learning algorithm
- relational databases
- labeled data
- sensitive information
- keyword search
- classification rules
- semi structured
- object oriented
- xml retrieval
- labeling scheme
- structured data
- class labels
- twig queries
- data sets
- extensible markup language