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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 10 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 10 months ago
Active Learning for Hidden Attributes in Networks
In many networks, vertices have hidden attributes that are correlated with the network's topology. For instance, in social networks, people are more likely to be friends if t...
Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, C...
PREMI
2005
Springer
14 years 3 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
ICC
2007
IEEE
128views Communications» more  ICC 2007»
13 years 10 months ago
The Power of Temporal Pattern Processing in Anomaly Intrusion Detection
Abstract— A clear deficiency in most of todays Anomaly Intrusion Detection Systems (AIDS) is their inability to distinguish between a new form of legitimate normal behavior and ...
Mohammad Al-Subaie, Mohammad Zulkernine
ISBI
2008
IEEE
14 years 10 months ago
Automated proteome-wide determination of subcellular location using high throughput microscopy
A major source of information for identifying subcellular location on a proteome-wide basis will be imaging of tagged proteins in living cells using fluorescence microscopy. We ha...
Robert F. Murphy