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» A New Constraint for Mining Sets in Sequences.
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SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
14 years 2 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
BMCBI
2007
164views more  BMCBI 2007»
13 years 4 months ago
SEARCHPATTOOL: a new method for mining the most specific frequent patterns for binding sites with application to prokaryotic DNA
Background: Computational methods to predict transcription factor binding sites (TFBS) based on exhaustive algorithms are guaranteed to find the best patterns but are often limite...
Fathi Elloumi, Martha Nason
PKDD
2005
Springer
105views Data Mining» more  PKDD 2005»
13 years 10 months ago
Protein Sequence Pattern Mining with Constraints
Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences...
Pedro Gabriel Ferreira, Paulo J. Azevedo
SDM
2007
SIAM
147views Data Mining» more  SDM 2007»
13 years 6 months ago
Constraint-Based Pattern Set Mining
Local pattern mining algorithms generate sets of patterns, which are typically not directly useful and have to be further processed before actual application or interpretation. Ra...
Luc De Raedt, Albrecht Zimmermann
SAC
2004
ACM
13 years 10 months ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...