319 search results - page 13 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
111
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SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
101
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
PAKDD
2010
ACM
15 years 2 months ago
2010
ACM
Both itemset mining and graph mining have been studied independently. Here, we introduce a novel data structure, which is an unweighted graph whose vertices contain itemsets. From ...
FIMI
2003
14 years 11 months ago
2003
This paper presents the implementation of kDCI, an enhancement of DCI [10], a scalable algorithm for discovering frequent sets in large databases. The main contribution of kDCI re...