A highly scalable parallel algorithm for maximally informative k-itemset mining.
Saber SalahReza AkbariniaFlorent MassegliaPublished in: Knowl. Inf. Syst. (2017)
Keyphrases
- highly scalable
- parallel algorithm
- itemset mining
- itemsets
- constraint programming
- frequent closed
- frequent itemset mining
- parallel computation
- graph mining
- pattern mining
- frequent itemsets
- data partitioning
- shared memory
- frequent closed itemsets
- sequential pattern mining
- cluster of workstations
- data mining
- high utility itemsets
- data mining problems
- medial axis transform
- sequential patterns
- mining high utility itemsets
- sequence mining
- parallel version
- apriori algorithm
- constraint satisfaction problems
- data sets