TY  - GEN
N2  - This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.
DO  - 10.1007/978-3-030-74251-5
DO  - doi
AB  - This book constitutes the proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, which was planned to take place in Porto, Portugal. Due to the COVID-19 pandemic the conference was held online during April 26-28, 2021. The 35 papers included in this book were carefully reviewed and selected from 113 submissions. The papers were organized in topical sections named: modeling with neural networks; modeling with statistical learning; modeling language and graphs; and modeling special data formats.
T1  - Advances in intelligent data analysis XIX :19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021 : proceedings /
AU  - Abreu, Pedro Henriques,
AU  - Rodrigues, Pedro Pereira,
AU  - Fernández, Alberto
AU  - Gama, João,
VL  - 12695
CN  - Q337.5
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1435930
KW  - Pattern recognition systems
KW  - Mathematical statistics
KW  - Mathematical statistics
KW  - Reconnaissance des formes (Informatique)
KW  - Statistique mathématique
SN  - 9783030742515
SN  - 3030742512
TI  - Advances in intelligent data analysis XIX :19th International Symposium on Intelligent Data Analysis, IDA 2021, Porto, Portugal, April 26-28, 2021 : proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-74251-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-74251-5
ER  -