Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs.
Boya SunAndy PodgurskiSoumya RayPublished in: ISSRE (2010)
Keyphrases
- supervised learning
- rule mining
- association rules
- mining algorithm
- frequent subgraphs
- rules discovered
- graph mining
- web mining
- graph data
- unsupervised learning
- graph matching
- data mining
- frequent subgraph mining
- learning algorithm
- pattern mining
- learning tasks
- machine learning
- sequential patterns
- high precision
- association rule mining
- supervised machine learning
- training data
- rule discovery
- discovery process
- rule generation
- interesting patterns
- subgraph mining
- pattern discovery
- precision and recall
- training set
- rule sets
- directed graph
- classification rules
- itemsets
- active learning
- knowledge discovery
- decision trees
- bipartite graph
- reinforcement learning
- subgraph isomorphism
- temporal events
- text mining
- graph patterns
- graph clustering
- graph theoretic
- weighted graph
- graph structure