Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Data Quality has many dimensions one of which is accuracy. Accuracy is usually compromised by errors accidentally or intensionally introduced in a database system. These errors re...
Vassilios S. Verykios, Ahmed K. Elmagarmid, Elias ...
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Nowadays, spatial analysis led on complex phenomenon implies the usage of data available on heterogeneous territorial meshes, that is to say misaligned meshes. Then, combine these ...
Prediction of popular items in online content sharing systems has recently attracted a lot of attention due to the tremendous need of users and its commercial values. Different fr...