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16 résultats
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triés par
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ParCorr: efficient parallel methods to identify similar time series pairs across sliding windowsData Mining and Knowledge Discovery, 2018, 32 (5), pp.1481-1507. ⟨10.1007/s10618-018-0580-z⟩
Article dans une revue
lirmm-01886794v1
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Design and Implementation of the CloudMdsQL Multistore SystemCLOSER: Cloud Computing and Services Science, Apr 2016, Roma, Italy. pp.352-359, ⟨10.5220/0005923803520359⟩
Communication dans un congrès
lirmm-01341172v1
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Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcaleIEEE International Conference on Big Data (Big Data 2018), Dec 2018, Seattle, United States. pp.1757-1766, ⟨10.1109/BigData.2018.8622187⟩
Communication dans un congrès
lirmm-01921718v1
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BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series DatabasesKnowledge and Information Systems (KAIS), 2021, 63 (2), pp.349-378. ⟨10.1007/s10115-020-01518-4⟩
Article dans une revue
lirmm-02973633v2
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Benchmarking Polystores: the CloudMdsQL ExperienceWorkshop on Methods to Manage Heterogeneous Big Data and Polystore Databases @BigData 2016, Dec 2016, Washington, DC, United States. pp.2574-2579, ⟨10.1109/BigData.2016.7840899⟩
Communication dans un congrès
lirmm-01415582v1
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Integrating Big Data and Relational Data with a Functional SQL-like Query LanguageGlobe, Sep 2015, Valencia, Spain. pp.170-185, ⟨10.1007/978-3-319-22849-5_13⟩
Communication dans un congrès
lirmm-01181242v1
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Parallel Query Processing in a PolystoreDistributed and Parallel Databases, 2021, 39, pp.939-977. ⟨10.1007/s10619-021-07322-5⟩
Article dans une revue
lirmm-03148271v1
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Pl@ntNet Services, a Contribution to the Monitoring and Sharing of Information on the World FloraBiodiversity Information Science and Standards, 2020, 4, pp.e58933. ⟨10.3897/biss.4.58933⟩
Article dans une revue
hal-02973673v1
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Extending CloudMdsQL with MFR for Big Data IntegrationBDA: Gestion de Données — Principes, Technologies et Applications, LIAS / ISAE-ENSMA, Poitiers, Nov 2016, Poitiers, France
Communication dans un congrès
lirmm-01409104v1
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Distributed Algorithms to Find Similar Time SeriesECML-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⟩
Communication dans un congrès
lirmm-02265726v1
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Spark-parSketch: A Massively Distributed Indexing of Time Series DatasetsCIKM 2018 - 27th ACM International Conference on Information and Knowledge Management, Oct 2018, Turin, Italy. pp.1951-1954, ⟨10.1145/3269206.3269226⟩
Communication dans un congrès
lirmm-01886760v1
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Highly Scalable Real-Time Analytics with CloudDBApplianceXLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. , 10th Extremely Large Databases Conference, 2017
Poster de conférence
lirmm-01632355v1
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Multistore Big Data Integration with CloudMdsQLTransactions on Large-Scale Data- and Knowledge-Centered Systems, 2016, Lecture Notes in Computer Science, 9940, pp.48-74. ⟨10.1007/978-3-662-53455-7_3⟩
Article dans une revue
lirmm-01345712v1
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ImitatesLogiciel hal-02095640v1 |
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Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression CapabilitiesCLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687, ⟨10.5220/0007843806810687⟩
Communication dans un congrès
lirmm-02265729v1
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CloudMdsQL2016
Logiciel
hal-02092571v1
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