We propose a weakly-supervised approach for extracting class attributes from structured text available within Web documents. The overall precision of the extracted attributes is a...
The problem of the relevance and the usefulness of extracted association rules is becoming of primary importance, since an overwhelming number of association rules may be derived f...
Ghada Gasmi, Sadok Ben Yahia, Engelbert Mephu Ngui...
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Abstract. In this pilot study, a neural architecture for temporal emotion recognition from image sequences is proposed. The investigation aims at the development of key principles ...