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» Characteristic-Based Clustering for Time Series Data
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BMCBI
2007
198views more  BMCBI 2007»
13 years 8 months ago
Correlation analysis reveals the emergence of coherence in the gene expression dynamics following system perturbation
Time course gene expression experiments are a popular means to infer co-expression. Many methods have been proposed to cluster genes or to build networks based on similarity measu...
Nicola Neretti, Daniel Remondini, Marc Tatar, John...
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 6 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
BMCBI
2008
138views more  BMCBI 2008»
13 years 8 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
IJHPCA
2002
99views more  IJHPCA 2002»
13 years 8 months ago
Semantic Information Fusion for Coordinated Signal Processing in Mobile Sensor Networks
Distributed cognition of dynamic processes is commonly observed in mobile groups of animates like schools of fish, hunting lions, or in human teams for sports or military maneuvers...
David Friedlander, Shashi Phoha
KDD
2004
ACM
211views Data Mining» more  KDD 2004»
14 years 9 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...