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ICDM
2008
IEEE
126views Data Mining» more  ICDM 2008»
15 years 8 months ago
Detecting Suspicious Behavior in Surveillance Images
We introduce a novel technique to detect anomalies in images. The notion of normalcy is given by a baseline of images, under the assumption that the majority of such images is nor...
Daniel Barbará, Carlotta Domeniconi, Zoran ...
PKDD
2004
Springer
168views Data Mining» more  PKDD 2004»
15 years 7 months ago
Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
Christian Siefkes, Fidelis Assis, Shalendra Chhabr...
ACSAC
2004
IEEE
15 years 5 months ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...
AIED
2007
Springer
15 years 8 months ago
Investigating Generative Factors of Score Matrices
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...
Titus Winters, Christian R. Shelton, Tom Payne
DATAMINE
2002
125views more  DATAMINE 2002»
15 years 1 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...