Summarizing Documents Using Fractal Techniques. - M. Dolores Ruiz; Antonio B. Bailón (ICEIS (4), 2007)

Summarizing Structured Documents through a Fractal Technique. - M. Dolores Ruiz; Antonio B. Bailón (ICEIS (Selected Papers), 2007)

Pattern Extraction from Bag Databases. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

A Restriction Level Approach for the Representation and Evaluation of Fuzzy Association Rules. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001 (IFSA/EUSFLAT Conf., 2009)

Data Mining in RL-Bags. - M. Dolores Ruiz; Miguel Delgado 001; Daniel Sánchez 001 (IPMU (1), 2010)

Studying Interest Measures for Association Rules through a Logical Model. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010)

A Fuzzy Rule Mining Approach involving Absent Items. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001; José-María Serrano (EUSFLAT Conf., 2011)

New Approaches for Discovering Exception and Anomalous Rules. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011)

A formal model for mining fuzzy rules using the RL representation theory. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001; José-María Serrano (Inf. Sci., 2011)

Comparing Partitions by Means of Fuzzy Data Mining Tools. - Carlos Molina; Belén Prados-Suárez; M. Dolores Ruiz; Daniel Sánchez 001; José-María Serrano (SUM, 2012)

RL-bags: A conceptual, level-based approach to fuzzy bags. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001 (Fuzzy Sets Syst., 2012)

A formal and empirical analysis of the fuzzy gamma rank correlation coefficient. - M. Dolores Ruiz; Eyke Hüllermeier (Inf. Sci., 2012)

Detecting Anomalous and Exceptional Behaviour on Credit Data by Means of Association Rules. - Miguel Delgado 001; María J. Martín-Bautista; M. Dolores Ruiz; Daniel Sánchez 001 (FQAS, 2013)

Meta-association rules for fusing regular association rules from different databases. - M. Dolores Ruiz; Juan Gómez-Romero; María J. Martín-Bautista; Daniel Sánchez 001; Miguel Delgado 001 (FUSION, 2014)

Fuzzy quantification: a state of the art. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001; Maria-Amparo Vila (Fuzzy Sets Syst., 2014)

Anomaly detection using fuzzy association rules. - M. Dolores Ruiz; María J. Martín-Bautista; Daniel Sánchez 001; María Amparo Vila Miranda; Miguel Delgado 001 (Int. J. Electron. Secur. Digit. Forensics, 2014)

On Fuzzy Modus Ponens to Assess Fuzzy Association Rules. - Miguel Delgado 001; M. Dolores Ruiz; Daniel Sánchez 001; Maria-Amparo Vila (A Passion for Fuzzy Sets, 2015)

Fuzzy Meta-Association Rules. - M. Dolores Ruiz; Juan Gómez-Romero; María José Martín Bautista; Maria-Amparo Vila; Miguel Delgado 001 (IFSA-EUSFLAT, 2015)

Fuzzy meta-association rules for information fusion. - M. Dolores Ruiz; Juan Gómez-Romero; María J. Martín-Bautista; Daniel Sánchez 001; Miguel Delgado 001 (FUSION, 2015)

Open data analysis for environmental scanning in security-oriented strategic analysis. - Juan Gómez-Romero; M. Dolores Ruiz; María J. Martín-Bautista (FUSION, 2016)

Meta-association rules for mining interesting associations in multiple datasets. - M. Dolores Ruiz; Juan Gómez-Romero; Miguel Molina-Solana; Jesús R. Campaña; María J. Martín-Bautista (Appl. Soft Comput., 2016)

On the relation between fuzzy and generalized quantifiers. - M. Dolores Ruiz; Daniel Sánchez 001; Miguel Delgado 001 (Fuzzy Sets Syst., 2016)

Discovering Fuzzy Exception and Anomalous Rules. - M. Dolores Ruiz; Daniel Sánchez 001; Miguel Delgado 001; María J. Martín-Bautista (IEEE Trans. Fuzzy Syst., 2016)

Fuzzy frameworks for mining data associations: fuzzy association rules and beyond. - Nicolás Marín; M. Dolores Ruiz; Daniel Sánchez 001 (WIREs Data Mining Knowl. Discov., 2016)

Ad Hoc Metric for Correspondence Analysis Between Fuzzy Partitions. - Carlos Molina; María Dolores Ruiz Jiménez; Daniel Sánchez 001; José-María Serrano (SUM, 2017)

Information fusion from multiple databases using meta-association rules. - M. Dolores Ruiz; Juan Gómez-Romero; Miguel Molina-Solana; María Ros; María J. Martín-Bautista (Int. J. Approx. Reason., 2017)

Fuzzy Association Rules Mining Using Spark. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2018)

Level-based fuzzy generalized quantification. - M. Dolores Ruiz; Daniel Sánchez 001; Miguel Delgado 001 (Fuzzy Sets Syst., 2018)

A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules. - Carlos Fernandez-Basso; M. Dolores Ruiz; Miguel Delgado 001; María J. Martín-Bautista (EUSFLAT Conf., 2019)

Generalized Association Rules for Sentiment Analysis in Twitter. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2019)

A Probabilistic Algorithm for Predictive Control With Full-Complexity Models in Non-Residential Buildings. - Juan Gómez-Romero; Carlos Fernandez-Basso; M. Victoria Cambronero; Miguel Molina-Solana; Jesús R. Campaña; M. Dolores Ruiz; María J. Martín-Bautista (IEEE Access, 2019)

Finding tendencies in streaming data using Big Data frequent itemset mining. - Carlos Fernandez-Basso; Abel J. Francisco-Agra; María J. Martín-Bautista; M. Dolores Ruiz (Knowl. Based Syst., 2019)

Mining Text Patterns over Fake and Real Tweets. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2020)

Non-Query-Based Pattern Mining and Sentiment Analysis for Massive Microblogging Online Texts. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (IEEE Access, 2020)

Representation by levels: An alternative to fuzzy sets for fuzzy data mining. - Carlos Molina; M. Dolores Ruiz; José-María Serrano (Fuzzy Sets Syst., 2020)

A Fuzzy Mining Approach for Energy Efficiency in a Big Data Framework. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IEEE Trans. Fuzzy Syst., 2020)

A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2021)

Hardware Architecture Proposal for TEDA Algorithm to Data Streaming Anomaly Detection. - Lucileide M. D. Da Silva; Maria G. F. Coutinho; Carlos E. B. Santos; Mailson Ribeiro Santos; M. Dolores Ruiz; Luiz Affonso Guedes; Marcelo A. C. Fernandes (IEEE Access, 2021)

Spark solutions for discovering fuzzy association rules in Big Data. - Carlos Fernandez-Basso; M. Dolores Ruiz; María José Martín Bautista (Int. J. Approx. Reason., 2021)

Formal concept analysis for the generation of plural referring expressions. - Nicolás Marín; Gustavo Rivas-Gervilla; M. Dolores Ruiz; Daniel Sánchez 001 (Inf. Sci., 2021)

A Fuzzy-Based Approach for Cyberbullying Analysis. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; Jesica Gómez-Sánchez; Karel Gutiérrez-Batista; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2022)

Improving Text Clustering Using a New Technique for Selecting Trustworthy Content in Social Networks. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; Karel Gutiérrez-Batista; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2022)

NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (Expert Syst. Appl., 2022)

Big Data Architecture for Building Energy Management Systems. - M. Dolores Ruiz; Juan Gómez-Romero; Carlos Fernandez-Basso; María J. Martín-Bautista (IEEE Trans. Ind. Informatics, 2022)

Bot Detection in Twitter: An Overview. - Salvador Lopez-Joya; Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2023)

Federated Learning in Healthcare with Unsupervised and Semi-Supervised Methods. - Juan Paños-Basterra; M. Dolores Ruiz; María J. Martín-Bautista (FQAS, 2023)

A survey on the use of association rules mining techniques in textual social media. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (Artif. Intell. Rev., 2023)

Liars Know How to Argue: An Approach to Disinformation Analysis Based on Argument Mining. - Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (3), 2024)

Designing a Novel Fuzzy Association Rule Mining Algorithm for Federated Environments. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (3), 2024)

Why a Bot is Undetectable? An Explainability-Based Study of Misclassified Automated Accounts in Social Networks. - Salvador Lopez-Joya; José Ángel Díaz-García; María Dolores Ruiz Jiménez; María José Martín Bautista (IPMU (3), 2024)

Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-by-Level Association Rule Mining. - Bartolomé Ortiz Viso; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (3), 2024)

Exploring social bots: A feature-based approach to improve bot detection in social networks. - Salvador Lopez-Joya; Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (CoRR, 2024)

New Spark solutions for distributed frequent itemset and association rule mining algorithms. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (Clust. Comput., 2024)

A Flexible Big Data System for Credibility-Based Filtering of Social Media Information According to Expertise. - Jose Angel Diaz-Garcia; Karel Gutiérrez-Batista; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (Int. J. Comput. Intell. Syst., 2024)

Simulafed: an enhanced federated simulated environment for privacy and security in health. - Jose M. Rivas; Carlos Fernandez-Basso; Roberto Morcillo-Jiménez; Juan Paños-Basterra; M. Dolores Ruiz; María J. Martín-Bautista (Computing, 2025)

An AI knowledge-based system for police assistance in crime investigation. - Carlos Fernandez-Basso; Karel Gutiérrez-Batista; Juan Gómez-Romero; M. Dolores Ruiz; María J. Martín-Bautista (Expert Syst. J. Knowl. Eng., 2025)

Dissecting a social bot powered by generative AI: anatomy, new trends and challenges. - Salvador Lopez-Joya; Jose Angel Diaz-Garcia; M. Dolores Ruiz; María J. Martín-Bautista (Soc. Netw. Anal. Min., 2025)