TY  - GEN
N2  - This volume LNCS 13428 constitutes the papers of the 24 th International Conference on Big Data Analytics and Knowledge Discovery, held in August 2022 in Vienna, Austria. The 12 full papers presented together with 12 short papers in this volume were carefully reviewed and selected from a total of 57 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  - 10.1007/978-3-031-12670-3
DO  - doi
AB  - This volume LNCS 13428 constitutes the papers of the 24 th International Conference on Big Data Analytics and Knowledge Discovery, held in August 2022 in Vienna, Austria. The 12 full papers presented together with 12 short papers in this volume were carefully reviewed and selected from a total of 57 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 :24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings /
DA  - 2022.
CY  - Cham :
AU  - Wrembel, Robert.
AU  - Gamper, Johann.
AU  - Kotsis, Gabriele,
AU  - Tjoa, A. Min.
AU  - Khalil, Ismail.
VL  - 13428
CN  - QA76.9.D3
PB  - Springer,
PP  - Cham :
PY  - 2022.
N1  - Includes author index.
ID  - 1448502
KW  - Big data
KW  - Data mining
SN  - 9783031126703
SN  - 303112670X
TI  - Big data analytics and knowledge discovery :24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12670-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12670-3
ER  -