ML Anthology

SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series

Tuan Nguyen, Nicolas Méger, Christophe Rigotti, Catherine Pothier, Rémi Andreoli
ECML-PKDD 2016 pp. 63-66
doi:10.1007/978-3-319-46131-1_14 /ecmlpkdd/2016/nguyen2016ecmlpkdd-sitsp2miner/

Abstract

This paper presents a mining system for extracting patterns from Satellite Image Time Series. This system is a fully-fledged tool comprising four main modules for pre-processing, pattern extraction, pattern ranking and pattern visualization. It is based on the extraction of grouped frequent sequential patterns and on swap randomization.

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Cite

Text

Nguyen et al. "SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016. doi:10.1007/978-3-319-46131-1_14

Markdown

[Nguyen et al. "SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016.](https://mlanthology.org/ecmlpkdd/2016/nguyen2016ecmlpkdd-sitsp2miner/) doi:10.1007/978-3-319-46131-1_14

BibTeX

@inproceedings{nguyen2016ecmlpkdd-sitsp2miner,
  title     = {{SITS-P2miner: Pattern-Based Mining of Satellite Image Time Series}},
  author    = {Nguyen, Tuan and Méger, Nicolas and Rigotti, Christophe and Pothier, Catherine and Andreoli, Rémi},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2016},
  pages     = {63-66},
  doi       = {10.1007/978-3-319-46131-1_14},
  url       = {https://mlanthology.org/ecmlpkdd/2016/nguyen2016ecmlpkdd-sitsp2miner/}
}