Reza Akbarinia
Publications
Publications
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Energy Efficient Time Series Anomaly DetectionICECET 2025 - International Conference on Electrical, Computer and Energy Technologies, Jul 2025, Paris, France |
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ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and SpaceCIKM 2025 - 34th ACM International Conference on Information and Knowledge Management, ACM, Nov 2025, Seoul, South Korea. pp.6629-6633, ⟨10.1145/3746252.3761466⟩ |
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Subset Models for Multivariate Time Series ForecastICDEW 2024 - IEEE 40th International Conference on Data Engineering Workshops, IEEE, May 2024, Utrecht, Netherlands. pp.86-90, ⟨10.1109/ICDEW61823.2024.00016⟩ |
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A One-Health Platform for Antimicrobial Resistance Data AnalyticsCIKM 2024 - 33rd ACM International Conference on Information and Knowledge Management, Oct 2024, Boise, United States. pp.5230-5233, ⟨10.1145/3627673.3679237⟩ |
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Subset Modelling: A Domain Partitioning Strategy for Data-efficient Machine-LearningSBBD 2023 - Simpósio Brasileiro de Banco de Dados, SBC, Sep 2023, Belo Horizonte, Brazil. pp.318-323, ⟨10.5753/sbbd.2023.232829⟩ |
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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⟩ |
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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⟩ |
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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 |
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Efficient Incremental Computation of Aggregations over Sliding WindowsKDD 2021 - 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2021, Singapore (Virtual), Singapore. pp.2136-2144, ⟨10.1145/3447548.3467360⟩ |
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Efficient Incremental Computation of Aggregations over Sliding WindowsBDA 2021 - 37e Conférence sur la Gestion de Données - Principes, Technologies et Applications, Oct 2021, Virtual, France |
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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⟩ |
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Querying Key-Value Stores under Single-Key Constraints: Rewriting and ParallelizationRuleML+RR 2019 - 3rd International Joint Conference on Rules and Reasoning, Sep 2019, Bolzano, Italy. pp.198-206, ⟨10.1007/978-3-030-31095-0_15⟩ |
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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⟩ |
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Privacy-Preserving Top-k Query Processing in Distributed SystemsEuro-Par: European Conference on Parallel and Distributed Computing, Aug 2018, Turin, Italy. pp.281-292, ⟨10.1007/978-3-319-96983-1_20⟩ |
Top-k Query Processing over Distributed Sensitive Data22nd International Database Engineering & Applications Symposium (IDEAS 2018), Jun 2018, Villa San Giovanni, Italy. pp.208-216, ⟨10.1145/3216122.3216153⟩ |
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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⟩ |
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Answering Top-k Queries over Outsourced Sensitive Data in the CloudDEXA 2018 - 29th International Conference on Database and Expert Systems Applications, Sep 2018, Regensburg, Germany. pp.218-231, ⟨10.1007/978-3-319-98809-2_14⟩ |
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A Differentially Private Index for Range Query Processing in Clouds34th IEEE International Conference on Data Engineering (ICDE), Apr 2018, Paris, France. pp.857-868, ⟨10.1109/ICDE.2018.00082⟩ |
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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⟩ |
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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 |
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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 |
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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⟩ |
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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⟩ |
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TARDIS: Optimal Execution of Scientific Workflows in Apache SparkDaWaK: Data Warehousing and Knowledge Discovery, Aug 2017, Lyon, France. pp.74-87, ⟨10.1007/978-3-319-64283-3_6⟩ |
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Querying Key-Value Stores Under Simple Semantic Constraints : Rewriting and ParallelizationBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France |
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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⟩ |
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Mining Maximally Informative k-Itemsets in Massively Distributed EnvironmentsBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France |
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Privacy Preserving Query Processing in the CloudBDA: Gestion de Données — Principes, Technologies et Applications, Nov 2016, Poitiers, France |
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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⟩ |
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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⟩ |
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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⟩ |
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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⟩ |
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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⟩ |
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An Efficient Solution for Processing Skewed MapReduce JobsGlobe, Sep 2015, Valencia, Spain. pp.417-429, ⟨10.1007/978-3-319-22852-5_35⟩ |
Compression de flux de données probabilistes attentive à l'agrégationBDA: Gestion de Données — Principes, Technologies et Applications, Oct 2014, Autrans, France |
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NACluster: A Non-Supervised Clustering Algorithm for Matching Multi CataloguesInternational Conference on e-Science, Oct 2014, Guarujá, SP, Brazil. pp.83-86, ⟨10.1109/eScience.2014.61⟩ |
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MR-Part : Minimizing Data Transfers Between Mappers and Reducers in MapReduceBDA: Bases de Données Avancées, Oct 2013, Nantes, France |
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Data Partitioning for Minimizing Transferred Data in MapReduceGlobe, Aug 2013, Prague, Czech Republic. pp.1-12, ⟨10.1007/978-3-642-40053-7_1⟩ |
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⟩ |
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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 |
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Dynamic Workload-Based Partitioning for Large-Scale DatabasesDEXA 2012 - 23rd International Conference on Database and Expert Systems Applications, Sep 2012, Vienna, Austria. pp.183-190, ⟨10.1007/978-3-642-32597-7_16⟩ |
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Entity Resolution for Uncertain DataBDA 2012 - 28e journées Bases de Données Avancées, 2012, Clermont-Ferrand, France |
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An Uncertain Data Integration SystemODBASE'2012: 11th International Conference on Ontologies, DataBases, and Applications of Semantics, Sep 2012, Roma, Italy. pp.18 |
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DynPart: Dynamic Partitioning for Large-Scale DatabasesBDA 2012 - 28e journées Bases de Donnees Avancées, Oct 2012, Clermont-Ferrand, France |
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Pay-As-You-Go Data Integration Using Functional DependenciesInternational Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES), Aug 2012, Prague, Czech Republic. pp.375-389, ⟨10.1007/978-3-642-32498-7_28⟩ |
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Efficient Early Top-k Query Processing in Overloaded P2P SystemsDEXA 2011 - 22nd International Conference on Database and Expert Systems Applications, Aug 2011, Toulouse, France. pp.140-155, ⟨10.1007/978-3-642-23088-2_10⟩ |
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ProbDB: Efficient Execution of Aggregate Queries over Probabilistic DataBDA: Bases de Données Avancées, 2011, Rabat, Morocco |
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Efficient SUM Query Processing over Uncertain DataBDA 2011 - 27e journées Bases de Donnees Avancées, Oct 2011, Rabat, Morocco |
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Reducing User Waiting Time for Top-k Queries in Unstructured P2P SystemsBDA: Bases de Données Avancées, 2010, Toulouse, France |
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ASAP Top-k Query Processing in Unstructured P2P SystemsIEEE Tenth International Conference on Peer-To-Peer Computing (P2P), Aug 2011, Kyoto, Netherlands. pp.1-10 |
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Scalable P2P Reconciliation Infrastructure for Collaborative Text EditingDBKDA: Databases, Knowledge, and Data Applications, Apr 2010, Les Ménuires, France. pp.155-164, ⟨10.1109/DBKDA.2010.21⟩ |
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Continuous Timestamping for Efficient Replication Management in DHTsGLOBE'10: Third International Conference on Data Management in Grid and P2P Systems, Bilbao, Spain. pp.38-49 |
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SARAVÁ: data sharing for online communities in P2PColloquium of Computation: Brazil / INRIA, Cooperations, Advances and Challenges, Jul 2009, Rio Grande do Sul, Brazil. pp.5 |
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P2P Join Query Processing over Data StreamsBDA: Bases de Données Avancées, Oct 2009, Namur, Belgium |
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Distributed Processing of Continous Join Queries using DHT Networks2nd International Workshop on Data Management in Peer-to-Peer Systems (DAMAP), Mar 2009, Saint-Petersbourg, Russia. pp.34-41 |
Processing of Continuous Join Queries in a P2P EnvironmentBDA: Bases de Données Avancées, 2009, Namur, Belgium |
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Data Reconciliation in P2P Collaborative Applications24ème Journées "Bases de Données Avancées" - BDA 2008, Oct 2008, Guilherand-Granges, France |
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Estampillage et Journalisation P2P pour XWiki8ème Conférence Internationale sur les NOuvelles TEchnologies de la REpartition - NOTERE 2008, Jun 2008, Lyon, France |
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P2P Logging and Timestamping for Reconciliation34th International Conference on Very Large Databases - VLDB 2008, Aug 2008, Auckland, New Zealand. pp.1420-1423, ⟨10.1145/1454159.1454189⟩ |
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Data Currency in Replicated DHTsACM International Conference on Management of Data (SIGMOD), Jun 2007, Beijing, China. pp.211-222 |
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Best Position Algorithms for Top-k QueriesInternational Conference on Very Large Data Bases (VLDB), Aug 2007, Vienna, Austria. pp.495-506 |
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Supporting Data Currency in Replicated DHTs using a Keybased Timestamping ServiceBDA: Bases de Données Avancées, Oct 2007, Marseille, France |
Processing Top-k Queries in Distributed Hash TablesInternational Euro-Par Conference, Aug 2007, Rennes, France. pp.489-502 |
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Data management in the APPA P2P systemHPDGrid 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 |
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Reconciliation in the APPA P2P SystemInternational Conference on Parallel and Distributed Systems (ICPADS), IEEE Computer Society, Jul 2006, Minneapolis, United States. pp.401-410, ⟨10.1109/ICPADS.2006.91⟩ |
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Top-k Query Processing in the APPA P2P SystemInt. Conf. on High Performance Computing for Computational Science (VecPar), Jul 2006, Rio de Janeiro, Brazil |
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An Efficient Mechanism for Processing Top-k Queries in DHTsBDA: Bases de Données Avancées, Oct 2006, Lille, France |
Replication and query processing in the appa data management systemWorkshop on distributed data and structures, EPFL Lausanne, Jul 2004, Lausanne, Switzerland. pp.19-33 |
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Adaptation of two Big-data indexing algorithms for LOCAL-PLSChiométrie 2019, Jan 2019, Montpellier, France. 2019 |
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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 |
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P2PShare: a Social-based P2P Data Sharing SystemBDA 2012 - 28e journées Bases de Données Avancées, Oct 2012, Clermont-Ferrand, France. , 2012 |
P2P Techniques for Decentralized ApplicationsMorgan & Claypool Publishers, pp.104, 2012, 1608458229 |
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Data Access in Dynamic Distributed SystemsVDM-Verlag. VDM-Verlag, pp.188, 2009, 978-3-639-19796-9 |
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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⟩ |
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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⟩ |
Design and Implementation of Atlas P2P ArchitectureR. Baldoni, G. Cortese and F. Davide. Global Data Management, IOS Press, pp.98-123, 2006, 1-58603-629-7 |
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Efficient Matrix Profile Computation Using Different Distance Functions2020 |
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Leveraging Data Seasonality and Matrix Profile for Anomaly Detection: Application to Climate Time SeriesRR-9572, Inria. 2025 |
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Top-k Query Processing Over Outsourced Encrypted Data[Research Report] RR-9053, INRIA Sophia Antipolis - Méditerranée. 2017, pp.24 |
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SUM Query Processing over Probabilistic Data[Research Report] RR-7629, INRIA. 2011, pp.21 |
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P2P Logging and Timestamping for Reconciliation[Research Report] RR-6497, INRIA. 2008 |
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Query processing in P2P systems[Research Report] RR-6112, INRIA. 2007, pp.38 |
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Parallel Techniques for Big Data AnalyticsNumerical Analysis [cs.NA]. Université de Montpellier, 2019 |