TY  - GEN
N2  - The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
DO  - 10.1007/978-3-031-22137-8
DO  - doi
AB  - The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.
T1  - Advanced Data Mining and Applications :18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, proceedings.
AU  - Chen, Weitong,
AU  - Yao, Lina,
AU  - Cai, Taotao,
AU  - Pan, Shirui,
AU  - Shen, Tao,
AU  - Li, Xue,
VL  - 13726
CN  - QA76.9.D343
N1  - Selected conference papers.
ID  - 1451664
KW  - Data mining
SN  - 9783031221378
SN  - 3031221370
TI  - Advanced Data Mining and Applications :18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-22137-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-22137-8
ER  -