TY  - GEN
N2  - The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.
DO  - 10.1007/978-3-030-75765-6
DO  - doi
AB  - The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.
T1  - Advances in knowledge discovery and data mining :25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings.
AU  - Karlapalem, Kamal,
AU  - Cheng, Hong
AU  - Ramakrishnan, Naren,
AU  - Agrawal, R. K.,
AU  - Reddy, P. Krishna
AU  - Srivastava, Jaideep,
AU  - Chakraborty, Tanmoy,
VL  - 12713
CN  - QA76.9.D343
N1  - Includes author index.
ID  - 1436460
KW  - Data mining
KW  - Artificial intelligence
KW  - Exploration de données (Informatique)
KW  - Intelligence artificielle
SN  - 9783030757656
SN  - 303075765X
TI  - Advances in knowledge discovery and data mining :25th Pacific-Asia Conference, PAKDD 2021, Virtual event, May 11-14, 2021, Proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75765-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-75765-6
ER  -