We propose a formal definition of the robustness of association rules for interestingness measures. It is a central concept in the evaluation of the rules and has only been studied unsatisfactorily up to now. It is crucial because a good rule (according to a given quality measure) might turn out as a very fragile rule with respect to small variations in the data. The robustness measure that we ...

In this paper, we survey the application of association rule mining in e-learning systems, and especially, learning management systems. We describe the specific knowledge discovery process, its mains drawbacks and some possible solutions to resolve them.

Previous methods on mining association rules require users to input a minimum support threshold. However, there can be too many or too few resulting rules if the threshold is set inappropriately. It is diicult for end-users to nd the suitable threshold. In this paper, we propose a diierent setting in which the user does not provide a support threshold, but instead indicates the amount of result...

HVAC systems are significant consumers of energy, however building management systems do not typically operate them in accordance with occupant movements. Due to the delayed response of HVAC systems, prediction of occupant locations is necessary to maximize energy efficiency. In this paper we present an approach to occupant location prediction based on association rule mining, which allows pred...

In this paper we study a new technique we call post-bagging, which consists in resampling parts of a classification model rather then the data. We do this with a particular kind of model: large sets of classification association rules, and in combination with ordinary best rule and weighted voting approaches. We empirically evaluate the effects of the technique in terms of classification accura...

-------------------------------------------------------------------------ABSTRACT---------------------------------------------------------------Several multi-pass algorithms have been proposed for Association Rule Mining from static repositories. However, such algorithms are incapable of online processing of transaction streams. In this paper we introduce an efficient single-pass algorithm for ...

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