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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
PAKDD
2005
ACM
114views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
Chia Huey Ooi, Madhu Chetty
PRL
2002
67views more  PRL 2002»
15 years 5 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
SISAP
2008
IEEE
175views Data Mining» more  SISAP 2008»
16 years 17 days ago
Anytime K-Nearest Neighbor Search for Database Applications
Many contemporary database applications require similarity-based retrieval of complex objects where the only usable knowledge of its domain is determined by a metric distance func...
Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. ...
TKDE
2008
123views more  TKDE 2008»
15 years 6 months ago
DiSC: Benchmarking Secure Chip DBMS
Secure chips, e.g., present in smart cards, USB dongles, i-buttons, are now ubiquitous in applications with strong security requirements. Moreover, they require embedded data manag...
Nicolas Anciaux, Luc Bouganim, Philippe Pucheral, ...