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» Clustering by pattern similarity in large data sets
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VLDB
2007
ACM
164views Database» more  VLDB 2007»
14 years 9 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...
PAMI
2010
164views more  PAMI 2010»
13 years 7 months ago
Large-Scale Discovery of Spatially Related Images
— We propose a randomized data mining method that finds clusters of spatially overlapping images. The core of the method relies on the min-Hash algorithm for fast detection of p...
Ondrej Chum, Jiri Matas
COLING
2010
13 years 4 months ago
Comparing Language Similarity across Genetic and Typologically-Based Groupings
Recent studies have shown the potential benefits of leveraging resources for resource-rich languages to build tools for similar, but resource-poor languages. We examine what const...
Ryan Georgi, Fei Xia, William Lewis
DASFAA
2009
IEEE
118views Database» more  DASFAA 2009»
13 years 10 months ago
Detecting Aggregate Incongruities in XML
The problem of identifying deviating patterns in XML repositories has important applications in data cleaning, fraud detection, and stock market analysis. Current methods determine...
Wynne Hsu, Qiangfeng Peter Lau, Mong-Li Lee
HICSS
2006
IEEE
124views Biometrics» more  HICSS 2006»
14 years 3 months ago
Uncovering the Patterns in Pathology Ordering by Australian General Practitioners: A Data Mining Perspective
Pathology ordering by General Practitioners (GPs) is a significant contributor to rising health care costs both in Australia and worldwide. A thorough understanding of the nature ...
Zoe Yan Zhuang, Leonid Churilov, Ken Sikaris