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» Using minimum description length for process mining
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SDM
2012
SIAM
289views Data Mining» more  SDM 2012»
11 years 11 months ago
Mining Compressing Sequential Patterns
Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
PKDD
2009
Springer
95views Data Mining» more  PKDD 2009»
14 years 3 months ago
Non-redundant Subgroup Discovery Using a Closure System
Subgroup discovery is a local pattern discovery task, in which descriptions of subpopulations of a database are evaluated against some quality function. As standard quality functio...
Mario Boley, Henrik Grosskreutz
UAI
1997
13 years 10 months ago
Lexical Access for Speech Understanding using Minimum Message Length Encoding
The Lexical Access Problem consists of determining the intended sequence of words corresponding to an input sequence of phonemes (basic speech sounds) that come from a low-level p...
Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver...
CVPR
2010
IEEE
14 years 2 months ago
Minimum length in the tangent bundle as a model for curve completion
The phenomenon of visual curve completion, where the visual system completes the missing part (e.g., due to occlusion) between two contour fragments, is a major problem in percept...
Guy Ben-Yosef, Ohad Ben Shahar
SDM
2008
SIAM
125views Data Mining» more  SDM 2008»
13 years 10 months ago
Mining and Ranking Generators of Sequential Patterns
Sequential pattern mining first proposed by Agrawal and Srikant has received intensive research due to its wide range applicability in many real-life domains. Various improvements...
David Lo, Siau-Cheng Khoo, Jinyan Li