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Advances in Knowledge Discovery and Management . Volume 9 / edited by Rakia Jaziri, Arnaud Martin, Marie-Christine Rousset, Lydia Boudjeloud-Assala, Fabrice Guillet

Contributor(s): Jaziri, Rakia, editor literario | Martin, Arnaud, editor literario | Rousset, Marie-Christine, editor literario | Boudjeloud-Assala, Lydia, editor literario | Guillet, Fabrice, editor literario
Material type: materialTypeLabelE-bookSeries: (Studies in Computational Intelligence, 1860-9503; 1004).Publisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XVI, 200 páginas) : 87 ilustraciones, 36 ilustraciones a color.ISBN: 9783030902872.Subject: Data mining | Gestión del conocimientoOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Study and analyse textual data -- Advances in anomaly detection -- Exploration and the representation of complex data including Big data, heterogeneous data, graph data -- Propose a community detection strategy.
In: Springer Nature eBookSummary: This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC'2019held in Metz (France, January 21-25, 2019). These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.D343 2022 EB (Browse shelf(Opens below)) Acceso electrónico
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Study and analyse textual data -- Advances in anomaly detection -- Exploration and the representation of complex data including Big data, heterogeneous data, graph data -- Propose a community detection strategy.

This book is a collection of high scientific novel contributions addressing several of these challenges. These articles are extended versions of a selection of the best papers that were initially presented at the French-speaking conferences EGC'2019held in Metz (France, January 21-25, 2019). These extended versions have been accepted after an additional peer-review process among papers already accepted in long format at the conference. Concerning the conference, the long and short papers selection were also the result of a double blind peer review process among the hundreds of papers initially submitted to each edition of the conference (acceptance rate for long papers is about 25%.

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