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East European Conference on Advances in Databases and Information Systems

ADBIS 2009: Advances in Databases and Information Systems pp 347–361Cite as

Temporal Data Classification Using Linear Classifiers

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5739))

Abstract

Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that describes measurements over a period of time in history while the predicted class is expected to occur in the future. We describe a new temporal classification method that improves the accuracy of standard classification methods. The benefits of the method are tested on weather forecasting using the meteorological database from the Texas Commission on Environmental Quality.

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Author information

Authors and Affiliations

  1. University of Nebraska - Lincoln, Lincoln, NE, 68588, USA

    Peter Revesz & Thomas Triplet

Authors
  1. Peter Revesz
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  2. Thomas Triplet
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Editor information

Editors and Affiliations

  1. Institute of Applied Computer Systems, Riga Technical University, Kalku iela 1, LV 1658, Riga, Latvia

    Janis Grundspenkis

  2. Institute of Computing Science, University of Technology, Piotrowo 2, 60-965, Pozna´n, Poland

    Tadeusz Morzy

  3. European Research Center for Information Systems, University of Münster, Leonardo Campus 3, 48149, Münster, Germany

    Gottfried Vossen

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© 2009 Springer-Verlag Berlin Heidelberg

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Revesz, P., Triplet, T. (2009). Temporal Data Classification Using Linear Classifiers. In: Grundspenkis, J., Morzy, T., Vossen, G. (eds) Advances in Databases and Information Systems. ADBIS 2009. Lecture Notes in Computer Science, vol 5739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03973-7_25

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  • DOI: https://doi.org/10.1007/978-3-642-03973-7_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03972-0

  • Online ISBN: 978-3-642-03973-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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