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Clustering Techniques for Revenue Accounting Error-Handling Automation

Tianshu Yang 1, 2 Nicolas Pasquier 1 Frédéric Precioso 1, 3 Antoine Hom 2 Laurent Dollé 2
3 MAASAI - Modèles et algorithmes pour l’intelligence artificielle
CRISAM - Inria Sophia Antipolis - Méditerranée , UNS - Université Nice Sophia Antipolis (... - 2019), JAD - Laboratoire Jean Alexandre Dieudonné, Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Intellectual Property Invention ID2326WW00 registered by Intellectual Property Board, Amadeus S.A.S., Sophia Antipolis, France. Amadeus IP Invention licensed by Defensive Publications in the CIKM 2020 and DATA 2020 International Conferences: [1] Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dolle, Frédéric Precioso. "Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets" in Proceedings of the CIKM 2020 29th ACM International Conference on Information and Knowledge Management, Galway, Ireland, October 2020, ACM Association for Computing Machinery. [2] Tianshu Yang, Nicolas Pasquier, Frédéric Precioso. "Ensemble Clustering Based Semi-Supervised Learning for Revenue Accounting Workflow Management" in Proceedings of the DATA 2020 International Conference on Data Science, Technology and Applications, pages 283-293, Paris, France, July 2020, SciTePress Science and Technology Publications. Intellectual Property Invention Presentation on Amadeus Intellectual Property Open Day, 7th July 2020.
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https://hal.archives-ouvertes.fr/hal-02926737
Contributor : Nicolas Pasquier <>
Submitted on : Tuesday, September 1, 2020 - 2:45:32 AM
Last modification on : Saturday, February 6, 2021 - 3:27:16 AM

Identifiers

  • HAL Id : hal-02926737, version 1

Citation

Tianshu Yang, Nicolas Pasquier, Frédéric Precioso, Antoine Hom, Laurent Dollé. Clustering Techniques for Revenue Accounting Error-Handling Automation. France, Patent n° : ID2326WW00. 2020. ⟨hal-02926737⟩

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