Search Results - "Carmona, C.J."

An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects by García‐Vico, A.M., Carmona, C.J., Martín, D., García‐Borroto, M., del Jesus, M.J.

“…Emerging pattern mining is a data mining task that aims to discover discriminative patterns, which can describe emerging behavior with respect to a property of…”
Get full text

A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions by García-Domingo, B., Carmona, C.J., Rivera-Rivas, A.J., del Jesus, M.J., Aguilera, J.

“…•Multivariable model to calculate the maximum power given by concentrating modules.•Spectrum additional indexes in the equation proposed by the standard…”
Get full text

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD by Carmona, C. J., González, P., Gacto, M. J., del Jesus, M. J.

“…The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary…”
Get full text

A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams by García-Vico, Á.M., Carmona, C.J., González, P., del Jesus, M.J.

“…Nowadays the amount of networks of devices and sensors, such as smart homes or smart cities, is rapidly increasing. Each of these devices generates massive…”
Get full text

A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy by Carmona, C.J., del Jesus, M.J., Herrera, F.

“…Supervised descriptive rule discovery represents a set of data mining techniques whose objective is to describe data with respect to a property of interest…”
Get full text

Web usage mining to improve the design of an e-commerce website: OrOliveSur.com by Carmona, C.J., Ramírez-Gallego, S., Torres, F., Bernal, E., del Jesus, M.J., García, S.

“…► We present a complete analysis of web usage mining in the website OrOliveSur.com. ► Clustering, association rule and subgroup discovery techniques have been…”
Get full text

A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans by Carmona, C.J., Ruiz-Rodado, V., del Jesus, M.J., Weber, A., Grootveld, M., González, P., Elizondo, D.

“…This paper proposes a novel algorithm for subgroup discovery task based on genetic programming and fuzzy logic called Fuzzy Genetic Programming-based for…”
Get full text

MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution by Pulgar-Rubio, F., Rivera-Rivas, A.J., Pérez-Godoy, M.D., González, P., Carmona, C.J., del Jesus, M.J.

“…Nowadays, there is an incredible increase of data volumes around the world, with the Internet as one of the main actors in this scenario and a growth rate…”
Get full text

Fuzzy rules for describing subgroups from Influenza A virus using a multi-objective evolutionary algorithm by Carmona, C.J., Chrysostomou, C., Seker, H., del Jesus, M.J.

“…Extraction of biologically-meaningful knowledge is one of the important and challenging tasks in bioinformatics, in particular computational analysis of DNA…”
Get full text

Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets by Pérez-Godoy, M.D., Rivera, Antonio J., Carmona, C.J., del Jesus, M.J.

“…[Display omitted] •We present a study about the performance of two classical weight training methods of Radial Basis Function Networks (RBFN), Least Mean…”
Get full text

MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology by Carmona, C.J., González, P., García-Domingo, B., del Jesus, M.J., Aguilera, J.

“…Subgroup discovery is a broadly applicable data mining technique whose main objective is the search for descriptions of subgroups of data that are…”
Get full text

An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery by Carmona, C.J., Gonzalez, P., Jesus, M., Herrera, F.

“…The interpretability of the results obtained and the quality measures used both to extract and evaluate the rules are two key aspects of subgroup discovery. In…”
Get full text