Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Lázaro Bustio Martínez"'
Autor:
Miguel Á. Álvarez-Carmona, Ramón Aranda, Ansel Y. Rodríguez-Gonzalez, Daniel Fajardo-Delgado, María Guadalupe Sánchez, Humberto Pérez-Espinosa, Juan Martínez-Miranda, Rafael Guerrero-Rodríguez, Lázaro Bustio-Martínez, Ángel Díaz-Pacheco
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 10125-10144 (2022)
The social networks and the rapid development of new technologies have led to considerable changes in the tourism industry. Artificial intelligence, in particular natural language processing (NLP), presupposes a significant advantage in obtaining inf
Externí odkaz:
https://doaj.org/article/02a74f4cd5b7455f8499473b594e8af4
Autor:
Lázaro Bustio-Martínez, Miguel A. Álvarez-Carmona, Vitali Herrera-Semenets, Claudia Feregrino-Uribe, René Cumplido
Publikováno v:
Information Sciences. 603:42-59
Publikováno v:
Advances in Computational Intelligence ISBN: 9783031194955
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bf9c78fc2bc918231c5a36673b3a651
https://doi.org/10.1007/978-3-031-19496-2_24
https://doi.org/10.1007/978-3-031-19496-2_24
Autor:
Raudel Hernández-León, Lázaro Bustio-Martínez, Claudia Feregrino-Uribe, René Cumplido, Alfredo Muñoz-Briseño
Publikováno v:
Pattern Recognition Letters. 125:241-248
Data streams are modern data sources that are gaining attention as a consequence of their many practical applications (they can be found in data transmission, eCommerce, and intrusion detection system among others). Nevertheless, the efforts to obtai
Autor:
José M. Bande-Serrano, Lázaro Bustio-Martínez, Martin Letras-Luna, René Cumplido, Raudel Hernández-León, Claudia Feregrino-Uribe
Publikováno v:
Journal of Parallel and Distributed Computing. 125:58-71
Frequent Itemsets Mining is a Data Mining technique that has been employed to extract useful knowledge from datasets and, more recently, also from data streams. Data streams are unbounded and infinite flows of data arriving at high rates which cannot
Publikováno v:
Knowledge-Based Systems, 227
Every day the number of devices interacting through telecommunications networks grows resulting into an increase in the volume of data and information generated. At the same time, a growing number of information security incidents is being observed i
Autor:
Raudel Hernández-León, Lázaro Bustio-Martínez, René Cumplido, José M. Bande-Serrano, Claudia Feregrino-Uribe
Publikováno v:
Journal of Intelligent Information Systems. 50:415-440
Frequent Itemsets Mining has been applied in many data processing applications with remarkable results. Recently, data streams processing is gaining a lot of attention due to its practical applications. Data in data streams are transmitted at high ra
Publikováno v:
PACRIM
Temporal attacks (such as copy-move and splicing attacks) are some of the most common tampering techniques in digital video due to their simplicity. While copy-move attacks have been widely studied and different approaches for this task have been pro
Autor:
Raudel Hernández-León, Claudia Feregrino-Uribe, Lázaro Bustio-Martínez, Martin Letras, René Cumplido
Publikováno v:
Expert Systems with Applications. 157:113440
Algorithms for Frequent Itemsets Mining have proved their effectiveness for extracting frequent sets of patterns in datasets. However, in some specific cases, they do not obtain the expected results in an acceptable time. For this reason, Field Progr
Publikováno v:
Research in Computing Science. 71:13-22