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» Mining for Patterns in Contradictory Data
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135
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 2 months ago
Sampling minimal frequent boolean (DNF) patterns
We tackle the challenging problem of mining the simplest Boolean patterns from categorical datasets. Instead of complete enumeration, which is typically infeasible for this class ...
Geng Li, Mohammed J. Zaki
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 2 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
SDM
2012
SIAM
289views Data Mining» more  SDM 2012»
13 years 2 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,...
SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
13 years 2 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
111
Voted
ADMA
2006
Springer
220views Data Mining» more  ADMA 2006»
15 years 5 months ago
Mining and Validation of Localized Frequent Web Access Patterns with Dynamic Tolerance
Mining user profiles is a crucial task for Web usage mining, and can be accomplished by mining frequent patterns. However, in the Web usage domain, sessions tend to be very sparse,...
Olfa Nasraoui, Suchandra Goswami