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VLDB
2007
ACM
164views Database» more  VLDB 2007»
16 years 8 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
VLDB
2005
ACM
126views Database» more  VLDB 2005»
16 years 1 months ago
Hubble: An Advanced Dynamic Folder Technology for XML
A significant amount of information is stored in computer systems today, but people are struggling to manage their documents such that the information is easily found. XML is a de...
Ning Li, Joshua Hui, Hui-I Hsiao, Kevin S. Beyer
AINA
2004
IEEE
15 years 11 months ago
Online Training of SVMs for Real-time Intrusion Detection
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...
Zonghua Zhang, Hong Shen
JMLR
2002
111views more  JMLR 2002»
15 years 7 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
PAISI
2010
Springer
15 years 5 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...