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» FuncICA for Time Series Pattern Discovery.
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
14 years 6 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
BMCBI
2008
259views more  BMCBI 2008»
13 years 6 months ago
DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
ADC
2007
Springer
140views Database» more  ADC 2007»
14 years 13 days ago
Incremental Mining for Temporal Association Rules for Crime Pattern Discoveries
In recent years, the concept of temporal association rule (TAR) has been introduced in order to solve the problem on handling time series by including time expressions into associ...
Vincent T. Y. Ng, Stephen Chi-fai Chan, Derek Lau,...
ICDM
2009
IEEE
161views Data Mining» more  ICDM 2009»
13 years 4 months ago
Understanding Climate Change Patterns with Multivariate Geovisualization
Climate change has been a challenging and urgent research problem for many related research fields. Climate change trends and patterns are complex, which may involve many factors a...
Hai Jin, Diansheng Guo
BMCBI
2006
118views more  BMCBI 2006»
13 years 6 months ago
Identification of gene expression patterns using planned linear contrasts
Background: In gene networks, the timing of significant changes in the expression level of each gene may be the most critical information in time course expression profiles. With ...
Hao Li, Constance L. Wood, Yushu Liu, Thomas V. Ge...