M
María José del Jesus
Researcher at University of Jaén
Publications - 111
Citations - 4247
María José del Jesus is an academic researcher from University of Jaén. The author has contributed to research in topics: Evolutionary algorithm & Fuzzy rule. The author has an hindex of 28, co-authored 107 publications receiving 3478 citations. Previous affiliations of María José del Jesus include University of Burgos.
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A proposal on reasoning methods in fuzzy rule-based classification systems
TL;DR: The behaviour of a general reasoning method is described, six proposals for this general model are analyzed, and a method to learn the parameters of these FRMs by means of Genetic Algorithms is presented, adapting the inference mechanism to the set of rules.
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Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
TL;DR: This experimental study will include several well-known algorithms from the literature such as decision trees, support vector machines and instance-based learning, with the intention of obtaining global conclusions from different classification paradigms.
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A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
TL;DR: The necessity of applying a preprocessing step to deal with the problem of imbalanced data-sets is analyzed and the granularity of the fuzzy partitions, the use of distinct conjunction operators, the application of some approaches to compute the rule weights and theUse of different fuzzy reasoning methods are analyzed.
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An overview on subgroup discovery: foundations and applications
TL;DR: This review focuses on the foundations, algorithms, and advanced studies together with the applications of subgroup discovery presented throughout the specialised bibliography.
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Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks
Alberto Fernández,Sara del Río,Victoria López,Abdullah Bawakid,María José del Jesus,José Manuel Benítez,Francisco Herrera,Francisco Herrera +7 more
TL;DR: This article provides an overview on the topic of Big Data, and how the current problem can be addressed from the perspective of Cloud Computing and its programming frameworks, and focuses on systems for large‐scale analytics based on the MapReduce scheme and Hadoop, its open‐source implementation.