José María Luna (ORCID: 0000-0003-3537-2931)

Cituota

	Visi	Nuo 2020
Šaltiniai	3380	1777
h-rodyklė	30	21
i10-rodyklė	47	34

400

200

100

300

20112012201320142015201620172018201920202021202220232024202514 14 61 136 160 243 254 342 338 363 380 393 339 269 28

Viešas pasiekiamumas

Peržiūrėti viską

51 straipsnis

9 straipsniai

pasiekiami

nepasiekiami

Pagal finansavimo įpareigojimus

Bendraautoriai

Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)Patvirtintas el. paštas uco.es
Cristóbal Romero (ORCID: 0000-0003...Full Professor in University of Cordoba and member of KDIS Research GroupPatvirtintas el. paštas uco.es
José Raúl RomeroUniversity of CórdobaPatvirtintas el. paštas uco.es
Philippe Fournier-VigerDistinguished professor, Shenzhen University, ChinaPatvirtintas el. paštas szu.edu.cn
Alberto CanoAssociate Vice President for Research Computing, Virginia Tech, USAPatvirtintas el. paštas vt.edu
Mykola PechenizkiyEindhoven University of TechnologyPatvirtintas el. paštas tue.nl
Rage Uday KiranAssociate professor, The University of Aizu, Aizu Wakamatsu, Fukushima, JapanPatvirtintas el. paštas u-aizu.ac.jp
Amelia ZafraAssociate Professor of Computer Science, University of CordobaPatvirtintas el. paštas uco.es
Habib M. FardounKing Abdulaziz UniversityPatvirtintas el. paštas kau.edu.sa
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainPatvirtintas el. paštas decsai.ugr.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénPatvirtintas el. paštas ujaen.es
Wouter DuivesteijnTU EindhovenPatvirtintas el. paštas tue.nl

Stebėti

José María Luna (ORCID: 0000-0003-3537-2931)

Associate Professor of Computing and Artificial Intelligence, University of Cordoba

Patvirtintas el. paštas uco.es

Pattern Mining Association Rule Mining Supervised Descriptive Rule Discovery Big Data Descriptive Analysis


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Predicting students' final performance from participation in on-line discussion forums C Romero, MI López, JM Luna, S Ventura Computers & Education 68, 458-472, 2013	807	2013
Frequent itemset mining: A 25 years review JM Luna, P Fournier‐Viger, S Ventura Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (6 …, 2019	235	2019
Classification via clustering for predicting final marks based on student participation in forums. MI Lopez, JM Luna, C Romero, S Ventura International Educational Data Mining Society, 2012	233	2012
Mining rare association rules from e-learning data C Romero, JR Romero, JM Luna, S Ventura Educational Data Mining 2010, 2010	136	2010
MDM tool: A data mining framework integrated into Moodle JM Luna, C Castro, C Romero Computer Applications in Engineering Education 25 (1), 90-102, 2017	106	2017
Pattern mining with evolutionary algorithms S Ventura, JM Luna Springer 16, 134-145, 2016	104	2016
Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data C Romero, A Zafra, JM Luna, S Ventura Expert Systems 30 (2), 162-172, 2013	94	2013
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules JM Luna, JR Romero, S Ventura Knowledge and Information Systems 32, 53-76, 2012	88	2012
Apriori versions based on mapreduce for mining frequent patterns on big data JM Luna, F Padillo, M Pechenizkiy, S Ventura IEEE transactions on cybernetics 48 (10), 2851-2865, 2017	85	2017
An advanced review on text mining in medicine C Luque, JM Luna, M Luque, S Ventura Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (3 …, 2019	73	2019
An evolutionary algorithm for the discovery of rare class association rules in learning management systems JM Luna, C Romero, JR Romero, S Ventura Applied Intelligence 42, 501-513, 2015	70	2015
LAIM discretization for multi-label data A Cano, JM Luna, EL Gibaja, S Ventura Information Sciences 330 (10), 370–384, 2016	66	2016
Supervised descriptive pattern mining S Ventura, JM Luna Springer International Publishing, 2018	63	2018
Mining association rules on big data through mapreduce genetic programming F Padillo, JM Luna, F Herrera, S Ventura Integrated Computer-Aided Engineering 25 (1), 31-48, 2017	61	2017
On the use of genetic programming for mining comprehensible rules in subgroup discovery JM Luna, JR Romero, C Romero, S Ventura IEEE transactions on cybernetics 44 (12), 2329-2341, 2014	61	2014
High performance evaluation of evolutionary-mined association rules on GPUs A Cano, JM Luna, S Ventura The Journal of Supercomputing 66, 1438-1461, 2013	57	2013
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm JM Luna, JR Romero, C Romero, S Ventura Integrated Computer-Aided Engineering 21 (4), 321-337, 2014	51	2014
Speeding-up association rule mining with inverted index compression JM Luna, A Cano, M Pechenizkiy, S Ventura IEEE transactions on cybernetics 46 (12), 3059-3072, 2016	48	2016
Evaluation and comparison of open source software suites for data mining and knowledge discovery AH Altalhi, JM Luna, MA Vallejo, S Ventura Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (3 …, 2017	47	2017
Mining local periodic patterns in a discrete sequence P Fournier-Viger, P Yang, RU Kiran, S Ventura, JM Luna Information Sciences 544, 519-548, 2021	46	2021

Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.

Straipsniai 1–20

Šaltinių per metus

Dubliuoti šaltiniai

Sujungti šaltiniai

Pridėti bendraautoriusBendraautoriai

Stebėti

Cituota

Bendraautoriai