Search - INRIA - Institut National de Recherche en Informatique et en Automatique

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	lirmm-01624805v1 Directions of work or proceedings Abdelkader Hameurlain, Josef Küng, Roland Wagner, Reza Akbarinia, Esther Pacitti. Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII Transactions on Large-Scale Data- and Knowledge-Centered Systems, LNCS (10430), Springer, Berlin, Heidelberg; Springer Berlin / Heidelberg, 185 p., 2017, Print: 978-3-662-55695-5; Online: 978-3-662-55696-2. ⟨10.1007/978-3-662-55696-2⟩
	lirmm-00838618v1 Conference papers Reza Akbarinia, Florent Masseglia. Fast and Exact Mining of Probabilistic Data Streams ECML-PKDD: Machine Learning and Knowledge Discovery in Databases, Sep 2013, Prague, Czech Republic. pp.493-508, ⟨10.1007/978-3-642-40988-2_32⟩
	lirmm-01076107v1 Conference papers Vinícius Pires de Moura Freire, Fábio André Machado Porto, José Antonio Fernandes de Macêdo, Reza Akbarinia. NACluster: A Non-Supervised Clustering Algorithm for Matching Multi Catalogues International Conference on e-Science, Oct 2014, Guarujá, SP, Brazil. pp.83-86, ⟨10.1109/eScience.2014.61⟩
	hal-00695035v1 Conference papers Reza Akbarinia, Vidal Martins. Data management in the APPA P2P system HPDGrid 2006 - International Workshop on High-Performance Data Management in Grid Environments - Co-located with VECPAR 2006, 7th International Meeting on High Performance Computing for Computational Science, Jul 2006, Rio de Janeiro, Brazil
	lirmm-02973633v2 Journal articles Oleksandra Levchenko, Boyan Kolev, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia et al. BestNeighbor: Efficient Evaluation of kNN Queries on Large Time Series Databases Knowledge and Information Systems (KAIS), Springer, In press, ⟨10.1007/s10115-020-01518-4⟩
	lirmm-00748635v1 Books Esther Pacitti, Reza Akbarinia, Manal El Dick. P2P Techniques for Decentralized Applications Morgan & Claypool Publishers, pp.104, 2012, 1608458229
	lirmm-02197618v1 Journal articles Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas. 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⟩
	inria-00482333v1 Books Reza Akbarinia. Data Access in Dynamic Distributed Systems VDM-Verlag. VDM-Verlag, pp.188, 2009, 978-3-639-19796-9
	lirmm-01091870v1 Conference papers Reza Akbarinia, Florent Masseglia. Compression de flux de données probabilistes attentive à l'agrégation BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France
	tel-02169414v1 Habilitation à diriger des recherches Reza Akbarinia. Parallel Techniques for Big Data Analytics Numerical Analysis [cs.NA]. Université de Montpellier, 2019
	lirmm-01169603v1 Conference papers Saber Salah, Reza Akbarinia, Florent Masseglia. Data Partitioning for Fast Mining of Frequent Itemsets in Massively Distributed Environments DEXA: Database and Expert Systems Applications, Sep 2015, Valencia, Spain. pp.303-318, ⟨10.1007/978-3-319-22849-5_21⟩
	lirmm-01171555v1 Conference papers Saber Salah, Reza Akbarinia, Florent Masseglia. Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.217-231, ⟨10.1007/978-3-319-21024-7_15⟩
	lirmm-01162366v1 Conference papers Reza Akbarinia, Florent Masseglia. Aggregation-Aware Compression of Probabilistic Streaming Time Series MLDM: Machine Learning and Data Mining, Jul 2015, Hamburg, Germany. pp.232-247, ⟨10.1007/978-3-319-21024-7_16⟩
	lirmm-00748605v1 Conference papers Reza Akbarinia, Florent Masseglia. FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams BDA: Bases de Données Avancées, 2012, Clermont-Ferrand, France
	hal-02788459v1 Preprints, Working Papers, ... Reza Akbarinia, Bertrand Cloez. Efficient Matrix Profile Computation Using Different Distance Functions 2020
	lirmm-01886725v1 Conference papers Cetin Sahin, Tristan Allard, Reza Akbarinia, Amr Abbadi, Esther Pacitti. A Differentially Private Index for Range Query Processing in Clouds 34th IEEE International Conference on Data Engineering (ICDE), Apr 2018, Paris, France. pp.857-868, ⟨10.1109/ICDE.2018.00082⟩
	lirmm-01411190v1 Conference papers Saber Salah, Reza Akbarinia, Florent Masseglia. Mining Maximally Informative k-Itemsets in Massively Distributed Environments BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France
	lirmm-01620060v1 Conference papers Daniel Gaspar, Fabio Porto, Reza Akbarinia, Esther Pacitti. TARDIS: Optimal Execution of Scientific Workflows in Apache Spark DaWaK: Data Warehousing and Knowledge Discovery, Aug 2017, Lyon, France. pp.74-87, ⟨10.1007/978-3-319-64283-3_6⟩
	lirmm-01620125v1 Conference papers Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas. 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⟩
	lirmm-01620154v1 Conference papers Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Dennis Shasha. RadiusSketch: Massively Distributed Indexing of Time Series DSAA: Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. pp.1-10
	lirmm-01620207v1 Conference papers Olivier Rodriguez, Corentin Colomier, Cecilie Rivière, Reza Akbarinia, Federico Ulliana. Querying Key-Value Stores Under Simple Semantic Constraints : Rewriting and Parallelization BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France
	lirmm-00607898v1 Journal articles Manal El Dick, Esther Pacitti, Reza Akbarinia, Bettina Kemme. Building a Peer-to-Peer Content Distribution Network with High Performance, Scalability and Robustness Information Systems, Elsevier, 2011, 36 (2), pp.222-247
	lirmm-01288571v1 Journal articles Saber Salah, Reza Akbarinia, Florent Masseglia. A Highly Scalable Parallel Algorithm for Maximally Informative k-Itemset Mining Knowledge and Information Systems (KAIS), Springer, 2017, 50 (1), pp.1-26. ⟨10.1007/s10115-016-0931-2⟩
	lirmm-01867804v1 Conference papers Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, José Camata et al. Scientific Data Analysis Using Data-Intensive Scalable Computing: the SciDISC Project LADaS: Latin America Data Science Workshop, Aug 2018, Rio de Janeiro, Brazil
	lirmm-01187275v1 Conference papers Saber Salah, Reza Akbarinia, Florent Masseglia. Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data ICDM: International Conference on Data Mining, Aug 2015, Atlantic city, United States. pp.359-368, ⟨10.1109/ICDM.2015.86⟩
	lirmm-01886760v1 Conference papers Oleksandra Levchenko, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev et al. 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⟩
	hal-02095640v1 Software Oleksandra Levchenko, Djamel-Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Boyan Kolev et al. Imitates 2019
	lirmm-01632355v1 Poster communications Boyan Kolev, Oleksandra Levchenko, Florent Masseglia, Reza Akbarinia, Esther Pacitti et al. Highly Scalable Real-Time Analytics with CloudDBAppliance XLDB: Extremely Large Databases Conference, Oct 2017, Clermont-Ferrand, France. 10th Extremely Large Databases Conference, 2017
	lirmm-02265729v1 Conference papers Boyan Kolev, Reza Akbarinia, Ricardo Jimenez-Peris, Oleksandra Levchenko, Florent Masseglia et al. Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, May 2019, Heraklion, Greece. pp.681-687
	lirmm-02265726v1 Conference papers Oleksandra Levchenko, Boyan Kolev, Djamel-Edine Yagoubi, Dennis Shasha, Themis Palpanas et al. Distributed Algorithms to Find Similar Time Series ECML-PKDD 2019 - European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2019, Wurtzbourg, Germany
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