Comparison of two different prediction schemes for the analysis of time series of graphs

  • Authors:
  • Horst Bunke;Peter Dickinson;Miro Kraetzl

  • Affiliations:
  • Institut für Informatik und angewandte Mathematik, Universität Bern, Bern, Switzerland;Intelligence Surveillance Reconnaissance Division, Defence Science and, Technology Organisation, Edinburgh, SA, Australia;Intelligence Surveillance Reconnaissance Division, Defence Science and, Technology Organisation, Edinburgh, SA, Australia

  • Venue:
  • IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper is concerned with time series of graphs and compares two novel schemes that are able to predict the presence or absence of nodes in a graph. Our work is motivated by applications in computer network monitoring. However, the proposed prediction methods are generic and can be used in other applications as well. Experimental results with graphs derived from real computer networks indicate that a correct prediction rate of up to 97% can be achieved.