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124
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PKDD
2010
Springer
193views Data Mining» more  PKDD 2010»
15 years 2 months ago
Process Mining Meets Abstract Interpretation
Mining Meets Abstract Interpretation J. Carmona and J. Cortadella Universitat Polit`ecnica de Catalunya, Spain The discovery of process models out of system traces is a problem tha...
Josep Carmona, Jordi Cortadella
127
Voted
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 4 months ago
Towards NIC-based intrusion detection
We present and evaluate a NIC-based network intrusion detection system. Intrusion detection at the NIC makes the system potentially tamper-proof and is naturally extensible to wor...
Matthew Eric Otey, Srinivasan Parthasarathy, Amol ...
114
Voted
VLDB
2005
ACM
82views Database» more  VLDB 2005»
15 years 9 months ago
Stack-based Algorithms for Pattern Matching on DAGs
Existing work for query processing over graph data models often relies on pre-computing the transitive closure or path indexes. In this paper, we propose a family of stack-based a...
Li Chen, Amarnath Gupta, M. Erdem Kurul
COLT
2006
Springer
15 years 7 months ago
Discriminative Learning Can Succeed Where Generative Learning Fails
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
Philip M. Long, Rocco A. Servedio
135
Voted
KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 4 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen