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» Mining Sequential Patterns across Time Sequences
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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
15 years 9 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
BMCBI
2005
99views more  BMCBI 2005»
15 years 3 months ago
CGH-Profiler: Data mining based on genomic aberration profiles
Background: CGH-Profiler is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH...
Falk Schubert, Bernhard Tausch, Stefan Joos, Rolan...
ISBI
2006
IEEE
16 years 3 months ago
Functional brain mapping with high-temporal resolution: introducing "evolutionary activation cells"
Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Florence Gombert, Sylvain Baillet
PKDD
2005
Springer
188views Data Mining» more  PKDD 2005»
15 years 8 months ago
Elastic Partial Matching of Time Series
We consider a problem of elastic matching of time series. We propose an algorithm that automatically determines a subsequence b of a target time series b that best matches a query ...
Longin Jan Latecki, Vasilis Megalooikonomou, Qiang...
KDD
2010
ACM
270views Data Mining» more  KDD 2010»
15 years 5 months ago
An energy-efficient mobile recommender system
The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particular...
Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao,...