DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres

Autor: Agnieszka Jakóbik, F. Javier Ortega, Alejandro Fernández-Montes, Damián Fernández-Cerero

Publikováno v: Future Generation Computer Systems. 116:190-199

Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content delivery and sharing platforms, and Cloud-computing business models. The high performance of such infrastructures is therefore c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e5f3d8759f2e16a977e7766b4557239
https://doi.org/10.1016/j.future.2020.10.031

A NLP-Oriented Methodology to Enhance Event Log Quality

Autor: F. Javier Ortega, María Teresa Gómez-López, Ángel Jesús Varela-Vaca, Belén Ramos-Gutiérrez, Moe Thandar Wynn

Publikováno v: Enterprise, Business-Process and Information Systems Modeling ISBN: 9783030791858
BPMDS/EMMSAD@CAiSE
idUS. Depósito de Investigación de la Universidad de Sevilla
Fundacion Sancho el Sabio Fundazioa (FSS)

The quality of event logs is a crucial cornerstone for the feasibility of the application of later process mining techniques. The wide variety of data that can be included in an event log refer to information about the activity, such as what, who or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b1fab5ea4f33c751278db91c3ffeae9
https://doi.org/10.1007/978-3-030-79186-5_2

MCFS: Min-cut-based feature-selection

Autor: José A. Troyano, Fermín L. Cruz, Fernando Enríquez, F. Javier Ortega, Carlos G. Vallejo

Publikováno v: Knowledge-Based Systems. 195:105604

In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the representation of the features in a dataset by means of a directed graph. The main contribution of our work is to show the usefuln

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6cd475b06363ed32833aaa2f2b967bb8
https://doi.org/10.1016/j.knosys.2020.105604

‘Long autonomy or long delay?’ The importance of domain in opinion mining

Autor: Fermín L. Cruz, F. Javier Ortega, Fernando Enríquez, José A. Troyano, Carlos G. Vallejo

Publikováno v: Expert Systems with Applications. 40:3174-3184

Nowadays, people do not only navigate the web, but they also contribute contents to the Internet. Among other things, they write their thoughts and opinions in review sites, forums, social networks, blogs and other websites. These opinions constitute

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a8a81a6bfc3d7a5573926b86cd63fa5
https://doi.org/10.1016/j.eswa.2012.12.031

STR: A GRAPH-BASED TAGGING TECHNIQUE

Autor: Carlos G. Vallejo, Fermín L. Cruz, José A. Troyano, Francisco J. Galán, F. Javier Ortega

Publikováno v: International Journal on Artificial Intelligence Tools. 20:955-967

This paper presents the ideas, experiments and specifications related to the Supervised TextRank (STR) technique, a word tagging method based on the TextRank algorithm. The main innovation of STR technique is the use of a graph-based ranking algorith

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c1437c8d065f2e31e800d1573dfc8fe
https://doi.org/10.1142/s0218213011000437