Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Leticia Arco"'
Autor:
Alejandro Ramón-Hernández, Alfredo Simón-Cuevas, María Matilde García Lorenzo, Leticia Arco, Jesús Serrano-Guerrero
Publikováno v:
Information, Vol 11, Iss 11, p 535 (2020)
Opinion mining and summarization of the increasing user-generated content on different digital platforms (e.g., news platforms) are playing significant roles in the success of government programs and initiatives in digital governance, from extracting
Externí odkaz:
https://doaj.org/article/e677efe66c8b437d9cd6be3a5c667a1c
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 9, Iss 1, Pp 20-31 (2015)
One of the primary tasks of opinion mining is the classification of the polarity of the opinion, that consists in determining whether the opinion is positive or negative with respect to the entity to which it is referring. This work seeks design a ge
Externí odkaz:
https://doaj.org/article/1d012bba4340474796f93cbdc6d9090a
Autor:
YAILÉ CABALLERO, RAFAEL BELLO, LETICIA ARCO, BEITMANTT CÁRDENAS, YENNELY MÁRQUEZ, MARÍA M. GARCÍA
Publikováno v:
Dyna, Vol 77, Iss 162, Pp 261-270 (2010)
La Teoría de los Conjuntos Aproximados (RST) abrió una nueva dirección en el desarrollo de teorías sobre la información incompleta y es una poderosa herramienta para el análisis de datos. En esta investigación se demuestra la posibilidad de us
Externí odkaz:
https://doaj.org/article/699d0e8b54f34eaa9e35e74c17012e21
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 1, Iss 2 (2011)
CorpusMiner 1.0 permite formar grupos de documentos similares en un corpus textual. El agrupamiento puede ser duro o borroso. Mediante el uso de métodos de agrupamiento concatenados, no es necesario tener un conocimiento del dominio para inicializar
Externí odkaz:
https://doaj.org/article/7bc8d0ea64a340dd8274d049f6f8d2dc
Publikováno v:
Intelligent Systems and Applications, 682-699
STARTPAGE=682;ENDPAGE=699;TITLE=Intelligent Systems and Applications
Lecture Notes in Networks and Systems ISBN: 9783030821920
IntelliSys (1)
STARTPAGE=682;ENDPAGE=699;TITLE=Intelligent Systems and Applications
Lecture Notes in Networks and Systems ISBN: 9783030821920
IntelliSys (1)
Predict customer buying behavior is an important task for improving direct marketing campaigns, offering the best possible experiences, and providing personalization in the customer journey trip. Improving how models capture the sequential informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf4e5cfacc8cd9ffd1da074a113605bf
https://research.tilburguniversity.edu/en/publications/6dbda3f4-ae60-447f-824a-d63f6d0d8bbb
https://research.tilburguniversity.edu/en/publications/6dbda3f4-ae60-447f-824a-d63f6d0d8bbb
Autor:
Narcís Avellana, Ann Nowé, Roxana Radulescu, Sergio Jurado, Leticia Arco, Ivan S. Razo-Zapata, Mihail Mihaylov
Publikováno v:
Renewable Energy. 131:689-699
Traditional support policies for green energy have greatly contributed to the rise in prosumer numbers. However, it is believed that they will soon start to exert negative impact on stakeholders and on the grid. Policy makers advise to phase out two
Autor:
Jesus Serrano-Guerrero, Alejandro Ramón Hernández, María Matilde García Lorenzo, Alfredo Simón-Cuevas, Leticia Arco
Publikováno v:
ITQM
In recent years, surprising amounts of news, messages, and reviews of products and services are generated in the online social media. Several efforts are being dedicated to detecting topics, as well as mining opinions in these unstructured texts. The
Energy efficiency and sustainability are important factors to address in the context of smart cities. In this sense, a necessary functionality is to reveal various preferences, behaviors, and characteristics of individual consumers, considering the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7fb8305669827d166ed3a1ffb5f8e15
https://biblio.vub.ac.be/vubir/twolevel-clustering-methodology-for-smart-metering-data(a0c90279-0afe-4acf-8696-8e0d2f7ab9a5).html
https://biblio.vub.ac.be/vubir/twolevel-clustering-methodology-for-smart-metering-data(a0c90279-0afe-4acf-8696-8e0d2f7ab9a5).html
Publikováno v:
Rough Sets ISBN: 9783030527044
IJCRS
Rough Sets
Tilburg University-PURE
IJCRS
Rough Sets
Tilburg University-PURE
Rough set theory has many interesting applications in circumstances which are characterized by vagueness. In this paper, the applications of rough set theory in community detection analysis is discussed based on the Rough Net definition. We will focu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcada8d803dd6a3e7958fa8d6f62ce78
http://hdl.handle.net/1942/32437
http://hdl.handle.net/1942/32437
Publikováno v:
Business Information Systems ISBN: 9783030533366
BIS
Tilburg University-PURE
BIS
Tilburg University-PURE
Understanding customer behaviors is deemed crucial to improve customers’ satisfaction and loyalty, which eventually is materialized in increased revenue. This paper tackles this challenge by using complex networks and multiple instance reasoning to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4ff187619aea7cf3394f0168e9af57a
https://doi.org/10.1007/978-3-030-53337-3_21
https://doi.org/10.1007/978-3-030-53337-3_21