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lirmm-01624805v1  Directions of work or proceedings
Abdelkader HameurlainJosef KüngRoland WagnerReza AkbariniaEsther 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 AkbariniaFlorent 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⟩
hal-00695035v1  Conference papers
Reza AkbariniaVidal 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-00748635v1  Books
Esther PacittiReza AkbariniaManal El Dick. P2P Techniques for Decentralized Applications
Morgan & Claypool Publishers, pp.104, 2012, 1608458229
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lirmm-02197618v1  Journal articles
Djamel-Edine YagoubiReza AkbariniaFlorent MassegliaThemis 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 AkbariniaFlorent Masseglia. Compression de flux de données probabilistes attentive à l'agrégation
BDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France
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tel-02169414v1  Habilitation à diriger des recherches
Reza Akbarinia. Parallel Techniques for Big Data Analytics
Numerical Analysis [cs.NA]. Université de Montpellier, 2019
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lirmm-01162366v1  Conference papers
Reza AkbariniaFlorent 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⟩
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lirmm-00748605v1  Conference papers
Reza AkbariniaFlorent Masseglia. FMU: Fast Mining of Probabilistic Frequent Itemsets in Uncertain Data Streams
BDA: Bases de Données Avancées, 2012, Clermont-Ferrand, France
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lirmm-01886725v1  Conference papers
Cetin SahinTristan AllardReza AkbariniaAmr AbbadiEsther 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⟩
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lirmm-01411190v1  Conference papers
Saber SalahReza AkbariniaFlorent Masseglia. Mining Maximally Informative k-Itemsets in Massively Distributed Environments
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France
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lirmm-01620060v1  Conference papers
Daniel GasparFabio PortoReza AkbariniaEsther 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⟩
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lirmm-01620125v1  Conference papers
Djamel-Edine YagoubiReza AkbariniaFlorent MassegliaThemis 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⟩
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lirmm-01620154v1  Conference papers
Djamel-Edine YagoubiReza AkbariniaFlorent MassegliaDennis Shasha. RadiusSketch: Massively Distributed Indexing of Time Series
DSAA: Data Science and Advanced Analytics, Oct 2017, Tokyo, Japan. pp.1-10
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lirmm-01620207v1  Conference papers
Olivier RodriguezCorentin ColomierCecilie RivièreReza AkbariniaFederico Ulliana. Querying Key-Value Stores Under Simple Semantic Constraints : Rewriting and Parallelization
BDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France
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lirmm-01867804v1  Conference papers
Patrick ValduriezMarta MattosoReza AkbariniaHeraldo BorgesJosé 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
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lirmm-01187275v1  Conference papers
Saber SalahReza AkbariniaFlorent 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⟩
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lirmm-01886760v1  Conference papers
Oleksandra LevchenkoDjamel-Edine YagoubiReza AkbariniaFlorent MassegliaBoyan 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⟩
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lirmm-01632355v1  Poster communications
Boyan KolevOleksandra LevchenkoFlorent MassegliaReza AkbariniaEsther 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
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lirmm-02265729v1  Conference papers
Boyan KolevReza AkbariniaRicardo Jimenez-PerisOleksandra LevchenkoFlorent 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
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lirmm-02265726v1  Conference papers
Oleksandra LevchenkoBoyan KolevDjamel-Edine YagoubiDennis ShashaThemis 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