Occupational fraud affects many companies causing them economic loss and liability issues towards their clients and other entities. Detecting internal fraud requires significant effort since a huge amount of data produced by diverse systems (which are mostly in textual form) has to be processed with little automated support. In this paper, we exploit the advantages of information visualization and present a system that aims to detect occupational fraud in systems which involve a pair of entities (e.g., an employee and a client). The main visualization is a spiral on which the events are drawn according to their time-stamp. Suspicious events are considered those which appear along the same radius or on close radii. The system ranks both entities according to the specifications of the auditor and a video file of their activity is generated such that events with strong evidence of fraud appear first. The system is equipped with several visualizations that facilitate the detection procedure.

A major factor affecting the readability of a graph drawing is its resolution.In the graph drawing literature, the resolution of a drawing is either measured based on the angles formed by consecutive edges incident to a common node (angular resolution) or by the angles formed at edge crossings (crossing resolution).In this paper, we evaluate both by introducing the notion of "total resolution", that is, the minimum of the angular and crossing resolution.To the best of our knowledge, this is the first time where the problem of maximizing the total resolution of a drawing is studied.The main contribution of the paper consists of drawings of asymptotically optimal total resolution for complete graphs (circular drawings) and for complete bipartite graphs (2-layered drawings).In addition, we present and experimentally evaluate a force-directed based algorithm that constructs drawings of large total resolution.

In this paper we present an approach for incorporating a state of the art speech recognition engine into a novel assistive reading system for Greek dyslexic students. This system is being developed in the framework of the AGENT-DYSL IST project, and facilitates dyslexic children in learning to read fluently. Unlike previously presented approaches, the aim of this system is to monitor the progress and perspectives of a dyslexic user and supply personalised help. The goal of this help is to gradually increase the reading capabilities of the user, gradually diminish the assistance provided, till he is able to read as a non-dyslexic reader. Copyright © 2011 ISCA.