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ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
15 years 6 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
DEXA
2009
Springer
88views Database» more  DEXA 2009»
15 years 3 months ago
Significance-Based Failure and Interference Detection in Data Streams
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...
Nickolas J. G. Falkner, Quan Z. Sheng
AIMDM
1999
Springer
15 years 4 months ago
Knowledge-Based Event Detection in Complex Time Series Data
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...
Jim Hunter, Neil McIntosh
SP
1999
IEEE
194views Security Privacy» more  SP 1999»
15 years 4 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
MICCAI
2008
Springer
16 years 1 months ago
Automatic Detection of Calcified Coronary Plaques in Computed Tomography Data Sets
The detection of calcified plaques is an essential step in the assessment of coronary heart diseases. However, manual plaque segmentation is subjected to intra- and inter-observer ...
Stefan C. Saur, Hatem Alkadhi, Lotus Desbiolles, G...