In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
In this paper, we present a scheme for identifying instances of events and extracting information about them. The scheme can handle all events with which an action can be associat...
Harsha V. Madhyastha, N. Balakrishnan, K. R. Ramak...
Resolving heterogeneity among information systems is a crucial necessity if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in ...
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...