1681 search results - page 75 / 337 » Adaptive Clustering of Search Results |
192
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WWW
2009
ACM
16 years 29 days ago
2009
ACM
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
173
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HIS
2004
15 years 7 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
139
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LCN
2007
IEEE
16 years 13 days ago
2007
IEEE
Abstract—We study the performance of several search algorithms on unstructured peer-to-peer networks, both using classic search algorithms such as flooding and random walk, as w...
163
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PRIB
2009
Springer
16 years 21 days ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
151
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RAID
2007
Springer
16 years 8 days ago
2007
Springer
Abstract. In this work we present a NIDS cluster as a scalable solution for realizing high-performance, stateful network intrusion detection on commodity hardware. The design addre...