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» Learning and Generalization with the Information Bottleneck
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
15 years 10 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
15 years 10 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov
KDD
2006
ACM
127views Data Mining» more  KDD 2006»
15 years 10 months ago
Recommendation method for extending subscription periods
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
15 years 10 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
MOBISYS
2008
ACM
15 years 9 months ago
Behavioral detection of malware on mobile handsets
A novel behavioral detection framework is proposed to detect mobile worms, viruses and Trojans, instead of the signature-based solutions currently available for use in mobile devi...
Abhijit Bose, Xin Hu, Kang G. Shin, Taejoon Park