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144
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SDM
2007
SIAM
139views Data Mining» more  SDM 2007»
15 years 6 months ago
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree
We present an efficient dynamic algorithm for clustering undirected graphs, whose edge property is changing continuously. The algorithm maintains clusters of high quality in pres...
Barna Saha, Pabitra Mitra
149
Voted
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
15 years 10 months ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang
SAC
2009
ACM
15 years 11 months ago
Parameterless outlier detection in data streams
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
Alice Marascu, Florent Masseglia
156
Voted
USENIX
2008
15 years 7 months ago
Free Factories: Unified Infrastructure for Data Intensive Web Services
We introduce the Free Factory, a platform for deploying data-intensive web services using small clusters of commodity hardware and free software. Independently administered virtua...
Alexander Wait Zaranek, Tom Clegg, Ward Vandewege,...
143
Voted
ISBI
2004
IEEE
16 years 5 months ago
Dimensionality and Degrees of Freedom in fMRI Data Analysis - A Comparative Study
Two- and three-dimensional isotropic and anisotropic spatial filters for adaptive fMRI data analysis are compared in terms of activation detection sensitivity and specificity. Eva...
Joakim Rydell, Magnus Borga, Hans Knutsson, Peter ...