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lirmm-01886794v1
Journal articles
ParCorr: efficient parallel methods to identify similar time series pairs across sliding windows Data Mining and Knowledge Discovery, Springer, 2018, 32 (5), pp.1481-1507. ⟨10.1007/s10618-018-0580-z⟩ |
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lirmm-01620125v1
Conference papers
DPiSAX: Massively Distributed Partitioned iSAX ICDM: International Conference on Data Mining, Nov 2017, New Orleans, United States. pp.1135-1140, ⟨10.1109/ICDM.2017.151⟩ |
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tel-02148207v1
Theses
Indexing and analysis of very large masses of time series Other [cs.OH]. Université Montpellier, 2018. English. ⟨NNT : 2018MONTS084⟩ |
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lirmm-01620154v1
Conference papers
RadiusSketch: Massively Distributed Indexing of Time Series IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Oct 2017, Tokyo, Japan. pp.262-271, ⟨10.1109/DSAA.2017.49⟩ |
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lirmm-02265726v1
Conference papers
Distributed Algorithms to Find Similar Time Series ECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany. pp.781-785, ⟨10.1007/978-3-030-46133-1_51⟩ |
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lirmm-01886760v1
Conference papers
Spark-parSketch: A Massively Distributed Indexing of Time Series Datasets CIKM: Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩ |
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lirmm-02197618v1
Journal articles
Massively Distributed Time Series Indexing and Querying IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2020, 32 (1), pp.108-120. ⟨10.1109/TKDE.2018.2880215⟩ |
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lirmm-02973633v2
Journal articles
BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series Databases Knowledge and Information Systems (KAIS), Springer, In press, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩ |
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