7 search results - page 1 / 2 » Asynchronous and Anticipatory Filter-Stream Based Parallel A... |
PKDD
2004
Springer
13 years 10 months ago
2004
Springer
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
IEEEHPCS
2010
13 years 3 months ago
2010
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
HIPC
2003
Springer
13 years 9 months ago
2003
Springer
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
VLDB
2007
ACM
13 years 10 months ago
2007
ACM
Multi-core processors are proliferated across different domains in recent years. In this paper, we study the performance of frequent pattern mining on a modern multi-core machine....
PPOPP
2005
ACM
13 years 10 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...