A. Veloso, W. Meira Jr., R. Ferreira, D. Guedes, S. Parthasarathy  Home/Search
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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 itemset mining process is represented as a data flow controlled by a series producer and consumer components (filters), and the data flow (communication) between such filters is made via streams. When production rate matches consuption rate, and communication overhead between producer and consumer filters is minimized, a... (Update)
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0.5: New Parallel Algorithms for Frequent Itemset.. - Veloso.. (2003) (Correct)
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BibTeX entry: (Update)
@misc{ veloso-asynchronous,
author = "A. Veloso and W. Meira Jr. and R. Ferreira and D. Guedes and S. Parthasarathy",
title = "Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for
Frequent Itemset Mining",
url = "citeseer.ist.psu.edu/veloso04asynchronous.html" }
Citations (may not include all citations):910 Fast algorithms for mining association rules - Agrawal, Srikant - 1994
115 Scalable parallel data mining for association rules - Han, Karypis et al. - 2000
100 Levelwise search and borders of theories in knowledge discov.. - Mannila, Toivonen - 1997
70 Active disks: Programming model (context) - Acharya, Uysal et al. - 1998
45 Parallel data mining for association rules on shared-memory .. - Parthasarathy, Zaki et al. - 2001
20 New parallel algorithms for fast discovery of association ru.. (context) - Zaki, Parthasarathy et al. - 1997
19 Design of a framework for data-intensive wide-area applicati.. - Beynon, Kurc et al. - 2000
5 Processing large-scale multi-dimensional data in parallel an.. - Beynon, Chang et al. - 2002
4 Mining frequent itemsets in distributed and dynamic database.. - Otey, Veloso et al. - 2003
4 Executing multiple pipelined data analysis operations in the.. - Spencer, Ferreira et al. - 2002
3 ect of data distribution in parallel mining of associations (context) - Cheung, Xiao - 1999
2 Parallel and distributed frequent itemset mining on dynamic .. - Veloso, Otey et al. - 2003
2 Transactions on Knowledge and Data Engineering (context) - Agrawal, Shafer et al. - 1996
1 cient parallel algorithms for mining associations (context) - Joshi, Han et al. - 2000
1 A component-based implementation of multiple sequence alignm.. (context) - atalyrek, Gray et al. - 2003
1 cient parallel and distributed algorithm for counting freque.. (context) - Orlando, Palmerini et al. - 2002
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