Reza Akbarinia
34
Documents
Publications
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Variable size segmentation for efficient representation and querying of non-uniform time series datasetsSAC 2022 - 37th ACM/SIGAPP Symposium on Applied Computing, Apr 2022, Virtual Event, United States. pp.395-402, ⟨10.1145/3477314.3507000⟩
Communication dans un congrès
lirmm-03806053v1
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Parallel Techniques for Variable Size Segmentation of Time Series DatasetsADBIS 2022 - 26th European Conference on Advances in Databases and Information Systems, Sep 2022, Turin, Italy. pp.148-162, ⟨10.1007/978-3-031-15740-0_12⟩
Communication dans un congrès
lirmm-03805997v1
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ASAX : Segmentation adaptative basée sur la quantité d'information pour SAXBDA 2021 - 37e Conférence sur la Gestion de Données - Principes, Technologies et Applications, Oct 2021, Paris, France
Communication dans un congrès
lirmm-03468535v1
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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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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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Maximally Informative k-Itemset Mining from Massively Distributed Data StreamsSAC: Symposium on Applied Computing, Apr 2018, Pau, France. pp.502-509, ⟨10.1145/3167132.3167187⟩
Communication dans un congrès
hal-01711990v1
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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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Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC ProjectLADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil
Communication dans un congrès
lirmm-01867804v1
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RadiusSketch: Massively Distributed Indexing of Time SeriesIEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Oct 2017, Tokyo, Japan. pp.262-271, ⟨10.1109/DSAA.2017.49⟩
Communication dans un congrès
lirmm-01620154v1
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DPiSAX: Massively Distributed Partitioned iSAXICDM 2017 - 17th IEEE International Conference on Data Mining, Nov 2017, New Orleans, LA, United States. pp.1135-1140, ⟨10.1109/ICDM.2017.151⟩
Communication dans un congrès
lirmm-01620125v1
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Massively Distributed Environments and Closed Itemset Mining: The DCIM ApproachCAiSE: Advanced Information Systems Engineering, Jun 2017, Essen, Germany. pp.231-246, ⟨10.1007/978-3-319-59536-8_15⟩
Communication dans un congrès
lirmm-01620238v1
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Massively Distributed Environments and Closed Itemset Mining: The DCIM ApproachBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. pp.1-15
Communication dans un congrès
lirmm-01620354v1
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Mining Maximally Informative k-Itemsets in Massively Distributed EnvironmentsBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France
Communication dans un congrès
lirmm-01411190v1
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Fast Parallel Mining of Maximally Informative k-Itemsets in Big DataICDM 2015 - 15th IEEE International Conference on Data Mining, Aug 2015, Atlantic City, NJ, United States. pp.359-368, ⟨10.1109/ICDM.2015.86⟩
Communication dans un congrès
lirmm-01187275v1
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A Prime Number Based Approach for Closed Frequent Itemset Mining in Big DataDEXA 2015 - 26th International Conference on Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.509-516, ⟨10.1007/978-3-319-22849-5_35⟩
Communication dans un congrès
lirmm-01169606v1
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Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed EnvironmentsDEXA 2015 - 26th International Conference on Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318, ⟨10.1007/978-3-319-22849-5_21⟩
Communication dans un congrès
lirmm-01169603v1
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Aggregation-Aware Compression of Probabilistic Streaming Time SeriesMLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247, ⟨10.1007/978-3-319-21024-7_16⟩
Communication dans un congrès
lirmm-01162366v1
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Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduceMLDM 2015 - 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, Jul 2015, Hamburg, Germany. pp.217-231, ⟨10.1007/978-3-319-21024-7_15⟩
Communication dans un congrès
lirmm-01171555v1
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Compression de flux de données probabilistes attentive à l'agrégationBDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France
Communication dans un congrès
lirmm-01091870v1
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Fast and Exact Mining of Probabilistic Data StreamsECML PKDD 2013 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩
Communication dans un congrès
lirmm-00838618v1
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FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data StreamsBDA 2012 - 28e journées Bases de Données Avancées, Oct 2012, Clermont-Ferrand, France
Communication dans un congrès
lirmm-00748605v1
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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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Variable-Size Segmentation for Time Series RepresentationTransactions on Large-Scale Data- and Knowledge-Centered Systems LIII, 13840, pp.34-65, 2023, Lecture Notes in Computer Science, 978-3-662-66862-7. ⟨10.1007/978-3-662-66863-4_2⟩
Chapitre d'ouvrage
lirmm-03882927v1
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Anomaly Detection in Time SeriesTransactions on Large-Scale Data- and Knowledge-Centered Systems L, LNCS. TLDKS -12930, , pp.46-62, 2021, Lecture Notes in Computer Science. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 978-3-662-64553-6. ⟨10.1007/978-3-662-64553-6_3⟩
Chapitre d'ouvrage
lirmm-03359500v1
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SoftED: Metrics for Soft Evaluation of Time Series Event Detection2023
Pré-publication, Document de travail
lirmm-04280618v1
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