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» Anomaly Detection Using Process Mining
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159
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ICDM
2008
IEEE
224views Data Mining» more  ICDM 2008»
16 years 24 days ago
A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
Yang Song, Lu Zhang 0007, C. Lee Giles
176
Voted
DGO
2009
88views Education» more  DGO 2009»
15 years 7 months ago
Attribute-value specification in customs fraud detection: a human-aided approach
With the growing importance of foreign commerce comes also greater opportunities for fraudulent behaviour. As such, governments must try to detect frauds as soon as they take plac...
Norton Trevisan Roman, Cristiano D. Ferreira, Luis...
181
Voted
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
16 years 12 days 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
158
Voted
LCN
2008
IEEE
16 years 23 days ago
Modeling of multi-resolution active network measurement time-series
Abstract—Active measurements on network paths provide endto-end network health status in terms of metrics such as bandwidth, delay, jitter and loss. Hence, they are increasingly ...
Prasad Calyam, Ananth Devulapalli
181
Voted
IMC
2006
ACM
16 years 10 days ago
Approximate fingerprinting to accelerate pattern matching
Pattern matching and analysis over network data streams is increasingly becoming an essential primitive of network monitoring systems. It is a fundamental part of most intrusion d...
Ramaswamy Ramaswamy, Lukas Kencl, Gianluca Iannacc...