Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Abstract breaches. To do so, the data custodian needs to transform its data. To determine the appropriate transforPrivacy preserving data mining so far has mainly mation, there are...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng,...
In this paper, a multi-objective genetic algorithm is proposed to deal with a real-world fuzzy job shop scheduling problem. Fuzzy sets are used to model uncertain due dates and pro...
Interactive computer games are widely seen as a killer application domain for Artificial Intelligence (AI) [8]. Quite apart from the significant size of the games market in terms...
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...