67 search results - page 7 / 14 » Detecting Projected Outliers in High-Dimensional Data Stream... |
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KDD
2012
ACM
12 years 12 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
78
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ICDCS
2006
IEEE
15 years 3 months ago
2006
IEEE
To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) wo...
GFKL
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
90
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AMW
2010
14 years 11 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...