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» Correlation Clustering with Noisy Input
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DATAMINE
2006
224views more  DATAMINE 2006»
13 years 5 months ago
Characteristic-Based Clustering for Time Series Data
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
ACSAC
2004
IEEE
13 years 9 months ago
Alert Correlation through Triggering Events and Common Resources
Complementary security systems are widely deployed in networks to protect digital assets. Alert correlation is essential to understanding the security threats and taking appropria...
Dingbang Xu, Peng Ning
BMCBI
2007
130views more  BMCBI 2007»
13 years 5 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...
STACS
2010
Springer
14 years 8 days ago
Online Correlation Clustering
We study the online clustering problem where data items arrive in an online fashion. The algorithm maintains a clustering of data items into similarity classes. Upon arrival of v, ...
Claire Mathieu, Ocan Sankur, Warren Schudy
ICPR
2006
IEEE
14 years 6 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...