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15 résultats
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triés par
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Exceptional contextual subgraph miningMachine Learning, 2017, 106 (08), pp.1171--1211. ⟨10.1007/s10994-016-5598-0⟩
Article dans une revue
hal-01488732v2
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User-driven geolocated event detection in social mediaIEEE Transactions on Knowledge and Data Engineering, 2021, 33 (2), pp.796-809. ⟨10.1109/TKDE.2019.2931340⟩
Article dans une revue
hal-02272082v1
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On-Premise AIOps Infrastructure for a Software Editor SME: An Experience ReportESEC/FSE 2023, Dec 2023, San Francisco (California), United States. ⟨10.1145/3611643.3613876⟩
Communication dans un congrès
hal-04186001v1
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Gibbs Sampling Subjectively Interesting TilesAdvances in Intelligent Data Analysis {XVIII} - 18th International Symposium on Intelligent Data Analysis (IDA 2020), Apr 2020, Konstanz (on line), Germany. ⟨10.1007/978-3-030-44584-3_7⟩
Communication dans un congrès
hal-02960847v1
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Mining Subjectively Interesting Attributed SubgraphsINTERNATIONAL WORKSHOP ON MINING AND LEARNING WITH GRAPHS, held with SIGKDD 2018, Aug 2018, Londres, United Kingdom
Communication dans un congrès
hal-02060190v1
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Mining exceptional closed patterns in attributed graphsKnowledge and Information Systems (KAIS), 2018, 56 (1), pp.1 - 25. ⟨10.1007/s10115-017-1109-2⟩
Article dans une revue
hal-01625007v1
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FSSD - A Fast and Efficient Algorithm for Subgroup Set DiscoveryIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2019, Washington DC, United States. ⟨10.1109/DSAA.2019.00023⟩
Communication dans un congrès
hal-02355503v1
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Unsupervised Exceptional Attributed Sub-graph Mining in Urban DataIEEE International Conference on Data Mining (ICDM 2016), Dec 2016, Barcelone, Spain. pp.21-30
Communication dans un congrès
hal-01430622v1
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Contrastive antichains in hierarchiesSIGKDD 2019, Aug 2019, Anchorage, Alaska, United States. pp.294:304, ⟨10.1145/3292500.3330954⟩
Communication dans un congrès
hal-02114775v1
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Contextual Subgraph Discovery With Mobility ModelsCOMPLEX NETWORKS 2017, Nov 2017, Lyon, France. pp.477-489
Communication dans un congrès
hal-01625068v1
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Mining useful patterns in attributed graphsOther [cs.OH]. Université de Lyon, 2019. English. ⟨NNT : 2019LYSEI058⟩
Thèse
tel-02490868v1
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DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report DetectionIEEE/ACM International Conference on Software Engineering, IEEE/ACM, Apr 2024, Lisbon (Portugal), Portugal
Communication dans un congrès
hal-04236085v1
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Découverte de sous-groupes de prédictions interprétables pour le triage d'incidentsExtraction et Gestion des Connaissances (EGC'2022), Jan 2022, Blois, France
Communication dans un congrès
hal-03627854v1
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Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical TargetsIEEE International Conference on Data Mining Workshops (ICDM Workshops), IEEE, Dec 2023, Shanghai (Chine), China
Communication dans un congrès
hal-04224279v1
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SIAS-miner: mining subjectively interesting attributed subgraphsData Mining and Knowledge Discovery, In press, 34 (2), pp.355-393. ⟨10.1007/s10618-019-00664-w⟩
Article dans une revue
hal-02378174v1
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