Listar DIAN-Artículos, capítulos... por autor "4c311bd7-e8bf-440e-b985-caa093cd5eac"
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An Automatic Programming ACO-Based Algorithm for Classification Rule Mining
Olmo, J.L.; Luna, J.M.; Romero, J.R.; Ventura Soto, S. (2017-01-20)In this paper we present a novel algorithm, named GBAP, that jointly uses automatic programming with ant colony optimization for mining classification rules. GBAP is based on a context-free grammar that properly guides ... -
An intruder detection approach based on infrequent rating pattern mining
Luna, J.M.; Ramírez, A.; Romero, J.R.; Ventura Soto, S. (2014-02-26) -
A Classification Module for Genetic Programming Algorithms in JCLEC
Cano, Alberto; Luna, J.M.; Zafra, Amelia; Ventura Soto, S. (MIT Press, 2014)JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ... -
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns
Al‑Twijri, Mohammed Ibrahim; Luna, J.M.; Herrera, Francisco; Ventura Soto, S. (Springer, 2022)To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dropout rate. ... -
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach
Trasierras, Antonio Manuel; Luna, J.M.; Ventura Soto, S. (Wiley, 2021)This paper presents an approach based on emerging pattern mining to analyse cancer through genomic data. Unlike existing approaches, mainly focused on predictive purposes, the proposal aims to improve the understanding of ... -
JCLEC Meets WEKA!
Cano, Alberto; Luna, J.M.; Olmo Ortiz, Juan Luis; Ventura Soto, S. (2014-02-27)WEKA has recently become a very referenced DM tool. In spite of all the functionality it provides, it does not include any framework for the development of evolutionary algorithms. An evolutionary computation framework ... -
LAIM discretization for multi-label data
Cano, Alberto; Luna, J.M.; Gibaja, Eva; Ventura Soto, S. (2017)Multi-label learning is a challenging task in data mining which has attracted growing attention in recent years. Despite the fact that many multi-label datasets have continuous features, general algorithms developed specially ... -
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm
Luna, J.M.; Romero, J.R.; Romero Morales, C.; Ventura Soto, S. (IOS Press, 2014)The extraction of useful information for decision making is a challenge in many different domains. Association rule mining is one of the most important techniques in this field, discovering relationships of interest among ... -
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
Luna, J.M.; Fardoun, H.M.; Padillo, Francisco; Romero Morales, C.; Ventura Soto, S. (Taylor & Francis, 2019)The aim of this paper is to categorize and describe di erent types of learners in mas- sive open online courses (MOOCs) by means of a subgroup discovery approach based on MapReduce. The nal objective is to discover ...