TY  - GEN
N2  - This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019. The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical and Healthcare Data/Decision Analytics; and Other Applications. --
DO  - 10.1007/978-3-030-35231-8
DO  - 10.1007/978-3-030-35
DO  - doi
AB  - This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019. The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical and Healthcare Data/Decision Analytics; and Other Applications. --
T1  - Advanced data mining and applications :15th International Conference, ADMA 2019, Dalian, China, November 21-23, 2019, Proceedings /
AU  - Li, Jianxin,
AU  - Wang, Sen,
AU  - Qin, Shaowen,
AU  - Li, Xue,
AU  - Wang, Shuliang,
VL  - 11888
CN  - QA76.9.D343
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 917277
KW  - Data mining
SN  - 9783030352318
SN  - 3030352315
TI  - Advanced data mining and applications :15th International Conference, ADMA 2019, Dalian, China, November 21-23, 2019, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-35231-8
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-35231-8
ER  -