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DKE
2008
124views more  DKE 2008»
15 years 6 months ago
A MaxMin approach for hiding frequent itemsets
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
George V. Moustakides, Vassilios S. Verykios
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 6 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
PKDD
1998
Springer
113views Data Mining» more  PKDD 1998»
15 years 10 months ago
On Objective Measures of Rule Surprisingness
Most of the literature argues that surprisingness is an inherently subjective aspect of the discovered knowledge, which cannot be measured in objective terms. This paper departs fr...
Alex Alves Freitas
EDM
2010
152views Data Mining» more  EDM 2010»
15 years 7 months ago
Mining Students' Interaction Data from a System that Support Learning by Reflection
In this paper we utilising some popular educational data mining (EDM) methods to explore and mine educational data resulted from a system that supports reflection for learning call...
Rajibussalim
MSR
2005
ACM
15 years 12 months ago
Recovering system specific rules from software repositories
One of the most successful applications of static analysis based bug finding tools is to search the source code for violations of system-specific rules. These rules may describe h...
Chadd C. Williams, Jeffrey K. Hollingsworth