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ISMIS
2005
Springer
15 years 3 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
15 years 3 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
RSFDGRC
2005
Springer
156views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
Intrusion Detection System Based on Multi-class SVM
In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This ...
Hansung Lee, Jiyoung Song, Daihee Park
CIVR
2004
Springer
116views Image Analysis» more  CIVR 2004»
15 years 3 months ago
A Visual Model Approach for Parsing Colonoscopy Videos
Abstract. Colonoscopy is an important screening procedure for colorectal cancer. During this procedure, the endoscopist visually inspects the colon. Currently, there is no content-...
Yu Cao, Wallapak Tavanapong, Dalei Li, Jung-Hwan O...