TY  - GEN
N2  - This book constitutes the proceedings of the 24th International Conference on Discovery Science, DS 2021, which took place virtually during October 11-13, 2021. The 36 papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: applications; classification; data streams; graph and network mining; machine learning for COVID-19; neural networks and deep learning; preferences and recommender systems; representation learning and feature selection; responsible artificial intelligence; and spatial, temporal and spatiotemporal data.
DO  - 10.1007/978-3-030-88942-5
DO  - doi
AB  - This book constitutes the proceedings of the 24th International Conference on Discovery Science, DS 2021, which took place virtually during October 11-13, 2021. The 36 papers presented in this volume were carefully reviewed and selected from 76 submissions. The contributions were organized in topical sections named: applications; classification; data streams; graph and network mining; machine learning for COVID-19; neural networks and deep learning; preferences and recommender systems; representation learning and feature selection; responsible artificial intelligence; and spatial, temporal and spatiotemporal data.
T1  - Discovery science :24th international conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021 : proceedings /
AU  - Soares, Carlos,
AU  - Torgo, Luís,
VL  - 12986
CN  - Q174
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1440294
KW  - Science
KW  - Discoveries in science
KW  - Research
KW  - Machine learning
KW  - Data mining
KW  - Découvertes scientifiques
KW  - Recherche
KW  - Apprentissage automatique
KW  - Exploration de données (Informatique)
SN  - 9783030889425
SN  - 3030889424
TI  - Discovery science :24th international conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021 : proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88942-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88942-5
ER  -