ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 1st ed. 2020 International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25-27, 2020, Proceedings Communications in Computer and Information Science Series, Vol. 1260
Coordonnateurs : Bellatreche Ladjel, Bieliková Mária, Boussaïd Omar, Catania Barbara, Darmont Jérôme, Demidova Elena, Duchateau Fabien, Hall Mark, Merčun Tanja, Novikov Boris, Papatheodorou Christos, Risse Thomas, Romero Oscar, Sautot Lucile, Talens Guilaine, Wrembel Robert, Žumer Maja
This book constitutes thoroughly reviewed and selected papers presented at Workshops and Doctoral Consortium of the 24th East-European Conference on Advances in Databases and Information Systems, ADBIS 2020, the 24th International Conference on Theory and Practice of Digital Libraries, TPDL 2020, and the 16th Workshop on Business Intelligence and Big Data, EDA 2020, held in August 2020. Due to the COVID-19 the joint conference and satellite events were held online.
The 26 full papers and 5 short papers were carefully reviewed and selected from 56 submissions. This volume presents the papers that have been accepted for the following satellite events: Workshop on Intelligent Data - From Data to Knowledge, DOING 2020; Workshop on Modern Approaches in Data Engineering and Information System Design, MADEISD 2020; Workshop on Scientic Knowledge Graphs, SKG 2020; Workshop of BI & Big Data Applications, BBIGAP 2020; International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2020; International Workshop on Assessing Impact and Merit in Science, AIMinScience 2020; Doctoral Consortium.
Date de parution : 08-2020
Ouvrage de 370 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
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Mots-clés :
artificial intelligence; computer networks; computer systems; data handling; data mining; databases; engineering; graph theory; Human-Computer Interaction (HCI); information management; information retrieval; information technology; knowledge-based system; machine learning; mathematics; Natural Language Processing (NLP); natural languages; network protocols; query languages; theoretical computer science