319 search results - page 42 / 64 » Algorithms for Mining Distance-Based Outliers in Large Datas... |
100
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SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
WWW
2007
ACM
15 years 10 months ago
2007
ACM
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
107
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ICDIM
2010
IEEE
14 years 8 months ago
2010
IEEE
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
KDD
2001
ACM
15 years 10 months ago
2001
ACM
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...