When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
In this paper we examine the effect that the choice of support and confidence thresholds has on the accuracy of classifiers obtained by Classification Association Rule Mining. ...
Abstract. Most of the emphasis on mining online assessment logs has been to identify contentspecific errors. However, the pattern of general "consistency" is domain indep...
In this paper, we show how using data mining algorithms can help discovering pedagogically relevant knowledge contained in databases obtained from Web-based educational systems. Th...
Following the success of our first workshop, we organized ADKDD 2008 1 - the second International Workshop on Data Mining and Audience Intelligence for Advertising, in conjunction...