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» High Performance Clustering Based on the Similarity Join
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WWW
2010
ACM
15 years 4 months ago
The paths more taken: matching DOM trees to search logs for accurate webpage clustering
An unsupervised clustering of the webpages on a website is a primary requirement for most wrapper induction and automated data extraction methods. Since page content can vary dras...
Deepayan Chakrabarti, Rupesh R. Mehta
ACSAC
2008
IEEE
14 years 11 months ago
Behavior-Profile Clustering for False Alert Reduction in Anomaly Detection Sensors
Anomaly Detection (AD) sensors compute behavior profiles to recognize malicious or anomalous activities. The behavior of a host is checked continuously by the AD sensor and an ale...
Vanessa Frías-Martínez, Salvatore J....
IPPS
2009
IEEE
15 years 4 months ago
Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade
We present predictive performance models of two of the petascale applications, S3D and GTC, from the DOE Office of Science workload. We outline the development of these models and...
Kevin J. Barker, Kei Davis, Darren J. Kerbyson
SIGMOD
1999
ACM
143views Database» more  SIGMOD 1999»
15 years 2 months ago
WALRUS: A Similarity Retrieval Algorithm for Image Databases
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Apostol Natsev, Rajeev Rastogi, Kyuseok Shim
ISPASS
2006
IEEE
15 years 3 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder