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» Trend Motif: A Graph Mining Approach for Analysis of Dynamic...
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CIBCB
2008
IEEE
14 years 2 months ago
Temporal and structural analysis of biological networks in combination with microarray data
— We introduce a graph-based relational learning approach using graph-rewriting rules for temporal and structural analysis of biological networks changing over time. The analysis...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
COMSWARE
2007
IEEE
14 years 1 months ago
Analysis of Dynamic Sensor Networks: Power Law Then What?
— Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these...
Eric Fleury, Jean-Loup Guillaume, Céline Ro...
ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
14 years 1 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
BMCBI
2010
183views more  BMCBI 2010»
13 years 5 months ago
The complexity of gene expression dynamics revealed by permutation entropy
Background: High complexity is considered a hallmark of living systems. Here we investigate the complexity of temporal gene expression patterns using the concept of Permutation En...
Xiaoliang Sun, Yong Zou, Victoria J. Nikiforova, J...
IPPS
2009
IEEE
14 years 2 months ago
Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Kamesh Madduri, David A. Bader