Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
PaDDMAS: Parallel and Distributed Data Mining Application Suite
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
An empirical study on mining sequential patterns in a grid computing environment
Expert Systems with Applications: An International Journal
Efficient algorithms for frequent pattern mining in many-task computing environments
Knowledge-Based Systems
| Hi-index | 0.00 |
The paper presents the implementation of an association rules discovery data mining task using Grid technologies. For the mining task we are using the Apriori algorithm on top of the Globus toolkit. The case study presents the design and integration of the data mining algorithm with the Globus services. The paper compares the Grid version with related work in the field and we outline the conclusions and future work.