Combining Clustering techniques and Formal Concept Analysis to characterize Interestingness Measures
Dhouha GrissaSylvie GuillaumeEngelbert Mephu NguifoPublished in: CoRR (2010)
Keyphrases
- formal concept analysis
- interestingness measures
- conceptual clustering
- association rules
- binary data
- concept lattice
- itemsets
- association rule mining
- formal concepts
- galois lattices
- clustering algorithm
- data mining
- knowledge discovery
- classification rules
- condensed representations
- frequent itemsets
- frequent itemset mining
- neural network
- hierarchical structure
- decision trees
- decision making
- learning algorithm
- data sets