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Data Engineering and Applications |
Auteur: Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh ISBN: 978-981-97-0037-0 Maison Ed.: Springer Ville Ed.: Année Ed.: 2024 Domaine: Sciences et technologies (GC, GE, AR...) Rayon: A Catégorie: Livre |
Comprises select peer-reviewed proceedings of the conference IDEA 2022 Broadens understanding in the domains of data structures and data management algorithms, among others Discusses novel theories and research work on data engineering and applications Ouvrir le fichier |