TY  - GEN
N2  - This two-volume set, LNCS 12923 and 12924, constitutes the thoroughly refereed proceedings of the 5th International Conference on Database and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually. The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following topics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support.
DO  - 10.1007/978-3-030-86472-9
DO  - doi
AB  - This two-volume set, LNCS 12923 and 12924, constitutes the thoroughly refereed proceedings of the 5th International Conference on Database and Expert Systems Applications, DEXA 2021. Due to COVID-19 pandemic, the conference was held virtually. The 37 full papers presented together with 31 short papers in these volumes were carefully reviewed and selected from a total of 149 submissions. The papers are organized around the following topics: big data; data analysis and data modeling; data mining; databases and data management; information retrieval; prediction and decision support.
T1  - Database and expert systems applications :32nd international conference, DEXA 2021, virtual event, September 27-30, 2021 : proceedings.
AU  - Strauss, Christine,
AU  - Kotsis, Gabriele,
AU  - Tjoa, A. Min,
AU  - Khalīl, Ismāʻīl,
VL  - 12923
CN  - QA76.9.D3
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1439443
KW  - Database management
KW  - Expert systems (Computer science)
KW  - Bases de données
KW  - Systèmes experts (Informatique)
SN  - 9783030864729
SN  - 3030864723
TI  - Database and expert systems applications :32nd international conference, DEXA 2021, virtual event, September 27-30, 2021 : proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86472-9
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86472-9
ER  -