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HICSS
2003
IEEE
171views Biometrics» more  HICSS 2003»
14 years 25 days ago
Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery
The discovery of sequential patterns, which extends beyond frequent item-set finding of association rule mining, has become a challenging task due to its complexity. Essentially, ...
Ming-Yen Lin, Suh-Yin Lee
HIPC
2003
Springer
14 years 23 days ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
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/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
ICDM
2002
IEEE
145views Data Mining» more  ICDM 2002»
14 years 15 days ago
Mining Top-K Frequent Closed Patterns without Minimum Support
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov
IDEAS
1999
IEEE
175views Database» more  IDEAS 1999»
13 years 12 months ago
A Parallel Scalable Infrastructure for OLAP and Data Mining
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
Sanjay Goil, Alok N. Choudhary
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
13 years 9 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...