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SAC
2004
ACM
15 years 11 months ago
Unsupervised learning techniques for an intrusion detection system
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Stefano Zanero, Sergio M. Savaresi
GVD
2004
107views Database» more  GVD 2004»
15 years 7 months ago
A Representation of Time Series for Temporal Web Mining
Data with temporal information is constantly generated, sampled, gathered, and analyzed in different domains, such as medicine, finance, engineering, environmental sciences, and e...
Mireille Samia
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
15 years 7 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
AAAI
2010
15 years 7 months ago
Constraint Programming for Data Mining and Machine Learning
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
Luc De Raedt, Tias Guns, Siegfried Nijssen
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
15 years 11 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du