Marta Millán

11 papers C 1Misc 1Journal 3Unranked 6
YearRankTypeTitle / Venue / Authors
2019 J jnl
GraphTQL: A visual query system for graph databases.
J. Comput. Lang.
María Constanza Pabón, Marta Millán, Claudia Roncancio, César A. Collazos
2018 J jnl
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery.
IEEE Access
Jesus A. Carino, Miguel Delgado Prieto, José Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
2016 J jnl
Enhanced Industrial Machinery Condition Monitoring Methodology Based on Novelty Detection and Multi-Modal Analysis.
IEEE Access
Jesus A. Carino, Miguel Delgado Prieto, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
2014 — conf
An Approach to Detect Negation on Medical Documents in Spanish.
Brain Informatics and Health
Roberto Costumero, Federico López, Consuelo Gonzalo-Martín, Marta Millán, Ernestina Menasalvas
2007 C conf
A Collaborative Recommender System Based on Asymmetric User Similarity.
IDEAL
Marta Millán, Maria F. Trujillo, Edward Ortiz
2007 — conf
A Recommender System Based on Multi-features.
ICCSA (2)
Maria F. Trujillo, Marta Millán, Edward Ortiz
2006 — conf
New algebraic operators and SQL primitives for mining classification rules.
Computational Intelligence
Ricardo Timarán Pereira, Marta Millán
2005 — conf
EquipAsso: An Algorithm based on New Relational Algebraic Operators for Association Rules Discovery.
Computational Intelligence
Ricardo Timarán Pereira, Marta Millán
2003 — conf
Mining Association Rules Using Fuzzy Inference on Web Data.
AWIC
Mariluz Martínez, Gelver Vargas, Andrés Dorado, Marta Millán
2003 — conf
New Algebraic Operators and SQL Primitives for Mining Association Rules.
Neural Networks and Computational Intelligence
Ricardo Timarán Pereira, Marta Millán, Fernando Machuca
1998 Misc conf
Enhancing the exploitation of data mining in relational database systems via the rough sets theory including precision variables.
SAC
Fernando Machuca, Marta Millán