319 search results - page 35 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Given a percentage-threshold and readings from a pair of consecutive upstream and downstream sensors, flow anomaly discovery identifies dominant time intervals where the fractio...
FLAIRS
2007
15 years 9 days ago
2007
A low-effort data mining approach to labeling network event records in a WLAN is proposed. The problem being addressed is often observed in an AI and data mining strategy to netwo...