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ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
16 years 2 days 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
16 years 1 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
USENIX
2008
15 years 8 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,...
BMCBI
2008
121views more  BMCBI 2008»
15 years 6 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
CLUSTER
2004
IEEE
15 years 10 months ago
An evaluation of the close-to-files processor and data co-allocation policy in multiclusters
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors and input files in multipl...
Hashim H. Mohamed, Dick H. J. Epema