A bibliography of temporal, spatial and spatio-temporal data mining research
Author:
Affiliation:
1. University of South Australia, The Levels Campus, Mawson Lakes, South Australia, Australia
2. Humboldt-Universität, Berlin, Berlin, Germany
Abstract
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/846170.846173
Reference72 articles.
1. Andreas S. Weigend and Neif A. Gershenfeld editors . Time Series Prediction: Forecasting the Future and Understanding the Past Volume XV of Proc. NATO Advanced Research Workshop on Comparative Time Series Analysis Santa Fe New Mexico May 1993 . Addison-Wesley . Andreas S. Weigend and Neif A. Gershenfeld editors. Time Series Prediction: Forecasting the Future and Understanding the Past Volume XV of Proc. NATO Advanced Research Workshop on Comparative Time Series Analysis Santa Fe New Mexico May 1993. Addison-Wesley.
2. Berger G. and Tuzhilin A . 1998 . 'Discovering unexpected patterns in temporal data using temporal logic'. In Temporal Databases - Research and Practice. O. Etzion S. Jajodia and S. Sripada (eds.) Lecture Notes in Computer Science 1399 Springer-Verlag Berlin. 281-309. Berger G. and Tuzhilin A. 1998. 'Discovering unexpected patterns in temporal data using temporal logic'. In Temporal Databases - Research and Practice . O. Etzion S. Jajodia and S. Sripada (eds.) Lecture Notes in Computer Science 1399 Springer-Verlag Berlin. 281-309.
3. Temporal data mining in information systems: a model'. In Proc. Seventh Australasian Conference on Information Systems, Hobart;Rainsford C.P.;Tasmania.,1996
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