TY  - GEN
N2  - This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
DO  - 10.1007/978-981-16-7476-1
DO  - doi
AB  - This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
T1  - Data mining and big data :6th international conference, DMBD 2021, Guangzhou, China, October 20-22, 2021 : proceedings.
AU  - Tan, Ying,
AU  - Shi, Yuhui,
AU  - Zomaya, Albert Y.,
AU  - Yan, Hongyang,
AU  - Cai, Jun,
VL  - 1453
CN  - QA76.9.D343
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1440813
KW  - Data mining
KW  - Big data
KW  - Exploration de données (Informatique)
KW  - Données volumineuses
SN  - 9789811674761
SN  - 9811674760
TI  - Data mining and big data :6th international conference, DMBD 2021, Guangzhou, China, October 20-22, 2021 : proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7476-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-7476-1
ER  -