Scheduling data processing workflows (dataflows) on the cloud is a very complex and challenging task. It is essentially an optimization problem, very similar to query optimizati...
Herald Kllapi, Eva Sitaridi, Manolis M. Tsangaris,...
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
The goal of the PADS project, which started in 2001, is to make it easier for data analysts to extract useful information from ad hoc data files. This paper does not report new r...
In this paper, we present a method to estimate the number of reconfiguration steps that a time-constrained algorithm can accommodate. This analysis demonstrates how one would attac...
The procedures to collect information about users are well known in computer science till long time. They range from getting explicit information from users, required in order to ...