TY  - GEN
N2  - This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
DO  - 10.1007/978-3-030-86534-4
DO  - doi
AB  - This volume LNCS 12925 constitutes the papers of the 23rd International Conference on Big Data Analytics and Knowledge Discovery, held in September 2021. Due to COVID-19 pandemic it was held virtually. The 12 full papers presented together with 15 short papers in this volume were carefully reviewed and selected from a total of 71 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
T1  - Big data analytics and knowledge discovery :23rd international conference, DaWaK 2021 virtual event, September 27-30, 2021 : proceedings /
AU  - Golfarelli, Matteo,
AU  - Wrembel, Robert,
AU  - Kotsis, Gabriele,
AU  - Tjoa, A. Min,
AU  - Khalil, Ismail,
VL  - 12925
CN  - QA76.9.D3
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1439519
KW  - Big data
KW  - Data mining
KW  - Données volumineuses
KW  - Exploration de données (Informatique)
SN  - 9783030865344
SN  - 3030865347
TI  - Big data analytics and knowledge discovery :23rd international conference, DaWaK 2021 virtual event, September 27-30, 2021 : proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86534-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86534-4
ER  -