The DOI matches its Crossref record.
A bibliography of temporal, spatial and spatio-temporal data mining research
Abstract
With the growth in the size of datasets, data mining has recently become an important research topic and is receiving substantial interest from both academia and industry. At the same time, a greater recognition of the value of temporal and spatial data has been evident and the first papers looking at the confluence of these two areas are starting to emerge. This short paper provides a few comments on this research and provides a bibliography of relevant research papers investigating temporal, spatial and spatio-temporal data mining.
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Citations
Cited by
Discrete Wavelet transform-based time series analysis and mining
Chaovalit, P., Gangopadhyay, A., Karabatis, G., & Chen, Z. (2011) · ACM Computing Surveys · doi:10.1145/1883612.1883613 · Cited by 218
Spatiotemporal Data Mining: A Computational Perspective
Shekhar, S., Jiang, Z., Ali, R., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4042306 · Cited by 206
Metadata
- Authors
- Roddick, J. F., & Spiliopoulou, M.
- Venue
- ACM SIGKDD Explorations Newsletter
- Published
- 1999-06
- Volume
- 1
- Issue
- 1
- Pages
- 34-38
- ISSN
- 1931-0145 (ISSN-L)
- 1931-0153
- OpenAlex
- W1970959758
- Cited by
- 216
- References
- 0
- FWCI
- 28.52
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: A bibliography of temporal, spatial and spatio-temporal data mining research. https://app.cochat.ai/papers/10.1145/846170.846173
- The paper
- Roddick, J. F., & Spiliopoulou, M. (1999). A bibliography of temporal, spatial and spatio-temporal data mining research. ACM SIGKDD Explorations Newsletter. https://doi.org/10.1145/846170.846173
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
