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cs.DC2018★ 2 cited
Parallel Algorithm for Frequent Itemset Mining on Intel Many-core Systems
Mikhail Zymbler
Frequent itemset mining leads to the discovery of associations and correlations among items in large transactional databases. Apriori is a classical frequent itemset mining algorit…
cs.DC2018★ 2 cited
The Use of MPI and OpenMP Technologies for Subsequence Similarity Search in Very Large Time Series on Computer Cluster System with Nodes Based on the Intel Xeon Phi Knights Landing Many-core Processor
Yana Kraeva, Mikhail Zymbler
Nowadays, subsequence similarity search is required in a wide range of time series mining applications: climate modeling, financial forecasts, medical research, etc. In most of the…