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AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 10 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki
AUSDM
2008
Springer
225views Data Mining» more  AUSDM 2008»
15 years 8 months ago
Evaluation of Malware clustering based on its dynamic behaviour
Malware detection is an important problem today. New malware appears every day and in order to be able to detect it, it is important to recognize families of existing malware. Dat...
Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. ...
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 8 months ago
An efficient algorithm for a class of fused lasso problems
The fused Lasso penalty enforces sparsity in both the coefficients and their successive differences, which is desirable for applications with features ordered in some meaningful w...
Jun Liu, Lei Yuan, Jieping Ye
LREC
2010
151views Education» more  LREC 2010»
15 years 8 months ago
Annotation Scheme and Gold Standard for Dutch Subjective Adjectives
Many techniques are developed to derive automatically lexical resources for opinion mining. In this paper we present a gold standard for Dutch adjectives developed for the evaluat...
Isa Maks, Piek Vossen