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» Time Series Models for Internet Data Traffic
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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 4 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
ICC
2009
IEEE
132views Communications» more  ICC 2009»
15 years 10 months ago
Preprocessing DNS Log Data for Effective Data Mining
—The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively...
Mark E. Snyder, Ravi Sundaram, Mayur Thakur
EDBT
2009
ACM
173views Database» more  EDBT 2009»
15 years 8 months ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...
DMIN
2006
111views Data Mining» more  DMIN 2006»
15 years 5 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
WSC
2007
15 years 6 months ago
Simulating air traffic blockage due to convective weather conditions
A Monte Carlo methodology is proposed for simulating air traffic blockage patterns under the impact of convective weather. The simulation utilizes probabilistic convective weather...
Liling Ren, Dawei Chang, Senay Solak, John-Paul Cl...