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PAKDD
2009
ACM
171views Data Mining» more  PAKDD 2009»
15 years 4 months ago
Detecting Abnormal Events via Hierarchical Dirichlet Processes
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
15 years 6 months ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 4 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 4 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
ER
2007
Springer
128views Database» more  ER 2007»
15 years 6 months ago
Dynamic Modeling of Trajectory Patterns using Data Mining and Reverse Engineering
The constant increase of moving object data imposes the need for modeling, processing, and mining trajectories, in order to find and understand the patterns behind these data. Ex...
Luis Otávio Alvares, Vania Bogorny, Jos&eac...