Predictive Algorithms and Technologies for Availability Enhancement

  • Miroslaw Malek
Conference paper

DOI: 10.1007/978-3-540-68129-8_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5017)
Cite this paper as:
Malek M. (2008) Predictive Algorithms and Technologies for Availability Enhancement. In: Nanya T., Maruyama F., Pataricza A., Malek M. (eds) Service Availability. ISAS 2008. Lecture Notes in Computer Science, vol 5017. Springer, Berlin, Heidelberg

Abstract

Predicting the future has fascinated people throughout civilizations but until the 20th century it has been more of a magic than science. Ability to predict the future has a significant impact on wide spectrum of applications ranging from business, communication systems and politics to health monitoring and enviromental protection. It will also become essential in dependability enhancement, security and critical infrastructure protection. With development of machine learning, pattern recognition, data mining and computer technology we seem to be better equipped to tackle the prediction problem with a more science-based, goal-oriented approach.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Miroslaw Malek
    • 1
  1. 1.Institut für InformatikHumboldt-Universität zu BerlinGermany

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