An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research

  • John F. Roddick
  • Kathleen Hornsby
  • Myra Spiliopoulou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2007)


Data mining and knowledge discovery have become important issues for research over the past decade. This has been caused not only by the growth in the size of datasets but also in the availability of otherwise unavailable datasets over the Internet and the increased value that organisations now place on the knowledge that can be gained from data analysis. It is therefore not surprising that the increased interest in temporal and spatial data has led also to an increased interest in mining such data. This bibliography subsumes an earlier bibliography and shows that the value of investigating temporal, spatial and spatio-temporal data has been growing in both interest and applicability.


Temporal Data Mining Temporal Rules Temporal Patterns Spatial Data Mining Spatio-Temporal Data Mining 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • John F. Roddick
    • 1
  • Kathleen Hornsby
    • 2
  • Myra Spiliopoulou
    • 3
  1. 1.School of Informatics and EngineeringFlinders University of South AustraliaAdelaideSouth Australia
  2. 2.National Centre for Geographic Information and AnalysisUniversity of MaineMaineUSA
  3. 3.Institut für Technische und Betriebliche InformationssystemeOtto-von-Guericke Universität MagdeburgMagdeburgGermany

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