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PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 3 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
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...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
15 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
SIGIR
2011
ACM
14 years 22 days ago
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
Ferhan Ture, Tamer Elsayed, Jimmy J. Lin
FSKD
2008
Springer
123views Fuzzy Logic» more  FSKD 2008»
14 years 11 months ago
PartSpan: Parallel Sequence Mining of Trajectory Patterns
The trajectory pattern mining problem has recently attracted increasing attention. This paper precisely addresses the parallel mining problem of trajectory patterns as well as the...
Shaojie Qiao, Changjie Tang, Shucheng Dai, Mingfan...
KDD
1994
ACM
82views Data Mining» more  KDD 1994»
15 years 2 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten