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PR
2007
81views more  PR 2007»
13 years 7 months ago
Mining evolving data streams for frequent patterns
A data stream is a potentially uninterrupted flow of data. Mining this flow makes it necessary to cope with uncertainty, as only a part of the stream can be stored. In this pape...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 2 months ago
Parameter Tuning for Differential Mining of String Patterns
Constraint-based mining has been proven to be extremely useful for supporting actionable pattern discovery. However, useful conjunctions of constraints that support domain driven ...
Jérémy Besson, Christophe Rigotti, I...
SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
11 years 10 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato
PKDD
2007
Springer
109views Data Mining» more  PKDD 2007»
14 years 1 months ago
Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
Abstract. When seeking for small clusters it is very intricate to distinguish between incidental agglomeration of noisy points and true local patterns. We present the PAMALOC algor...
Frank Höppner, Mirko Böttcher
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
14 years 15 days ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals