Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jesús J. Rodríguez-Sala"'
Autor:
Nuria Mollá, Alejandro Rabasa, Jesús J. Rodríguez-Sala, Joaquín Sánchez-Soriano, Antonio Ferrándiz
Publikováno v:
Mathematics, Vol 10, Iss 1, p 16 (2021)
Data science is currently one of the most promising fields used to support the decision-making process. Particularly, data streams can give these supportive systems an updated base of knowledge that allows experts to make decisions with updated model
Externí odkaz:
https://doaj.org/article/f2d27e59a787438cbda510147f36ec97
Autor:
Nuria Mollá, Alejandro Rabasa, Jesús J. Rodríguez-Sala, Joaquín Sánchez-Soriano, Antonio Ferrándiz
Publikováno v:
Mathematics, Vol 10, Iss 16, p 16 (2022)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Mathematics; Volume 10; Issue 1; Pages: 16
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Mathematics; Volume 10; Issue 1; Pages: 16
Data science is currently one of the most promising fields used to support the decision-making process. Particularly, data streams can give these supportive systems an updated base of knowledge that allows experts to make decisions with updated model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e763e4da7bb52d457a5369da4b59efed
https://www.mdpi.com/2227-7390/10/1/16
https://www.mdpi.com/2227-7390/10/1/16
Autor:
Mollá, Nuria1,2 (AUTHOR) a.rabasa@umh.es, Rabasa, Alejandro2 (AUTHOR) jesuja.rodriguez@umh.es, Rodríguez-Sala, Jesús J.2 (AUTHOR) joaquin@umh.es, Sánchez-Soriano, Joaquín2 (AUTHOR), Ferrándiz, Antonio1,3 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Jan2022, Vol. 10 Issue 1, p16. 1p.
This book is composed of a selection of articles from The 2021 World Conference on Information Systems and Technologies (WorldCIST'21), held online between 30 and 31 of March and 1 and 2 of April 2021 at Hangra de Heroismo, Terceira Island, Azores, P
Autor:
Joe Zhu, Vincent Charles
This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been