Prediction of financial time series using artificial neural networks has been the subject of many publications, even if the predictability of financial series remains a subject of ...
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vinc...
This paper focuses on the differences between monofractal and multifractal network traffic, both in terms of modeling approaches, and in terms of practical impacts on network perf...
Grid technologies have enabled the aggregation of geographically distributed resources, in the context of a particular application. The network remains an important requirement for...
Wireless sensor networks are deployed to monitor dynamic geographic phenomena, or objects, over space and time. This paper presents a new spatiotemporal data model for dynamic area...
This paper proposes a ranking method to exploit statistical correlations among pairs of attribute values in relational databases. For a given query, the correlations of the query ...