Fast sequential and parallel algorithms for association rule mining: a comparison
Fast sequential and parallel algorithms for association rule mining: a comparison
Scalable parallel data mining for association rules
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data mining, hypergraph transversals, and machine learning (extended abstract)
PODS '97 Proceedings of the sixteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Hash based parallel algorithms for mining association rules
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Parallel Algorithms for Discovery of Association Rules
Data Mining and Knowledge Discovery
PQE2000: HPC Tools for Industrial Applications
IEEE Concurrency
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Heterogeneous HPC Environments
Euro-Par '98 Proceedings of the 4th International Euro-Par Conference on Parallel Processing
Scalable data mining for rules
Scalable data mining for rules
High-performance data mining with skeleton-based structured parallel programming
Parallel Computing - Parallel data-intensive algorithms and applications
Design and Evaluation of a High-Level Interface for Data Mining
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
An efficient association mining implementation on clusters of SMP
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Parallelisation of C4.5 as a Particular Divide and Conquer Computation
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
IEEE Transactions on Knowledge and Data Engineering
Parallelizing a Defect Detection and Categorization Application
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Partitioning strategies for distributed association rule mining
The Knowledge Engineering Review
Middleware for data mining applications on clusters and grids
Journal of Parallel and Distributed Computing
A sampling-based scheduling method for distributed computing
CISST'09 Proceedings of the 3rd WSEAS international conference on Circuits, systems, signal and telecommunications
A sampling-based method for dynamic scheduling in distributed data mining environment
WSEAS Transactions on Computers
Compiler and middleware support for scalable data mining
LCPC'01 Proceedings of the 14th international conference on Languages and compilers for parallel computing
Tree partition based parallel frequent pattern mining on shared memory systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Newer and newer parallel architectures being developed raise a strong demand for high-level and programmer-friendly parallel tools. We show some results regarding mining of association rules, a well-known Data Mining algorithm, which we ported from sequential to parallel within the PQE2000/SkIE environment. The main goals achieved are the low effort spent in parallelizing the code, the machine independence of the application produced, source code portability and performance portability. Here we report test results for the same parallel program on three different architectures.