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» Finding Temporal Patterns by Data Decomposition
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BMCBI
2008
161views more  BMCBI 2008»
13 years 7 months ago
Inferring gene expression dynamics via functional regression analysis
Background: Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments....
Hans-Georg Müller, Jeng-Min Chiou, Xiaoyan Le...
APWEB
2006
Springer
13 years 11 months ago
Efficient Mining Strategy for Frequent Serial Episodes in Temporal Database
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Kuo-Yu Huang, Chia-Hui Chang
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 7 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
APVIS
2009
13 years 8 months ago
Correlation study of time-varying multivariate climate data sets
We present a correlation study of time-varying multivariate volumetric data sets. In most scientific disciplines, to test hypotheses and discover insights, scientists are interest...
Jeffrey Sukharev, Chaoli Wang, Kwan-Liu Ma, Andrew...
TCSB
2008
13 years 7 months ago
Clustering Time-Series Gene Expression Data with Unequal Time Intervals
Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints, namely exchanging two or more time points is not...
Luis Rueda, Ataul Bari, Alioune Ngom