A High-Performance Distributed Algorithm for Mining Association Rules
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Frequent Pattern Mining on Message Passing Multiprocessor Systems
Distributed and Parallel Databases
Parallel tree-projection-based sequence mining algorithms
Parallel Computing
A high-performance distributed algorithm for mining association rules
Knowledge and Information Systems
A sampling-based framework for parallel data mining
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Parallel Leap: Large-Scale Maximal Pattern Mining in a Distributed Environment
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Parallel Bifold: Large-scale parallel pattern mining with constraints
Distributed and Parallel Databases
Parallel mining of association rules from text databases
The Journal of Supercomputing
Optimization of frequent itemset mining on multiple-core processor
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Performance evaluation of the distributed association rule mining algorithms
SEPADS'05 Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems
A Fast Parallel Association Rules Mining Algorithm Based on FP-Forest
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
An abstraction based communication efficient distributed association rule mining
ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
Tree partition based parallel frequent pattern mining on shared memory systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
An efficient distributed algorithm for mining association rules
ISPA'06 Proceedings of the 4th international conference on Parallel and Distributed Processing and Applications
A distributed recommender system architecture
International Journal of Web Engineering and Technology
Distributed data mining patterns and services: an architecture and experiments
Concurrency and Computation: Practice & Experience
A parallel association-rule mining algorithm
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Novel parallel method for mining frequent patterns on multi-core shared memory systems
DISCS-2013 Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems
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In this paper we introduce a new parallel algorithm MLFPT (Multiple Local Frequent Pattern Tree) [11] for parallel mining of frequent patterns, based on FP-growth mining, that uses only two full I/O scans of the database, eliminating the need for generating the candidate items and distributing the work fairly among processors. We have devised partitioning strategies at different stages of the mining process to achieve near optimal balancing between processors.We have successfully tested our algorithm on datasets larger than 50 million transactions.