Best Papers of KDMiLe 2022 - Extended Versions

Foreword

JIDM Vol. 15 No. 1 presents a special collection featuring extended and revised versions of the top papers from the X Symposium on Knowledge Discovery, Mining, and Learning (KDMiLe), held online from November 28 to December 01, 2022.

This collection showcases extended and revised versions of seven papers from the symposium. KDMiLe is an annual scientific gathering designed to bring together researchers and practitioners to present their research findings, discuss ideas, and exchange techniques, tools, and practical experiences in Data Mining and Machine Learning. The X edition of KDMiLe was the first to occur after the COVID-19 pandemic, leading to two years of virtual presentations.

We want to thank everyone who contributed to this collection of JIDM, particularly the anonymous reviewers, for their valuable comments, and authors for their contributions and hard work in preparing their manuscripts.

We hope you enjoy this collection of JIDM!

Guest Editors

Aline Paes, Fluminense Federal University (UFF), Brazil

Articles

Paulo Silva Gôlo, M., Gonçalves de Moraes, L. ., Goularte, R., & Marcondes Marcacini, R. . (2024). The Impact of Representation Learning on Unsupervised Graph Neural Networks for One-Class Recommendation. Journal of Information and Data Management15(1), 112–122. https://doi.org/10.5753/jidm.2024.3317

L. C. Bazzan, A., U. Gobbi, H., & D. dos Santos, G. (2024). Using Non-Local Connections to Augment Knowledge and Efficiency in Multiagent Reinforcement Learning: an Application to Route Choice. Journal of Information and Data Management15(1), 186–195. https://doi.org/10.5753/jidm.2024.3328

B. Pio, P., Rivolli, A. ., C. P. L. F. de Carvalho, A., & P. F. Garcia, L. (2024). Two Meta-learning approaches for noise filter algorithm recommendation. Journal of Information and Data Management15(1), 132–141. https://doi.org/10.5753/jidm.2024.3365

M. C. Guimarães, G., X. B. da Silva, F., A. B. Macedo, L., H. F. Lisboa, V., M. Marcacini, R., L. Queiroz, A., R. P. Borges, V., P. Faleiros, T., & P. F. Garcia, L. (2024). Legal Document Segmentation and Labeling Through Named Entity Recognition Approaches. Journal of Information and Data Management15(1), 123–131. https://doi.org/10.5753/jidm.2024.3368

M. Miranda, I., de C. Aranha, C., C. P. L. F. de Carvalho, A., & P. F. Garcia, L. (2024). Empirical Comparison of EEG Signal Classification Techniques through Genetic Programming-based AutoML: An Extended Study. Journal of Information and Data Management15(1), 175–185. https://doi.org/10.5753/jidm.2024.3369

Valentim Pereira de Menezes Bandeira, A., Monteiro Ferracioli, G., Rocha dos Santos, M., & Carlos Ponce de Leon Ferreira de Carvalho, A. (2024). How to balance financial returns with metalearning for trend prediction. Journal of Information and Data Management15(1), 142–151. https://doi.org/10.5753/jidm.2024.3371

P. Torquette, G., S. Nunes, V., Y. A. Paiva, P., & C. Lorena, A. (2024). Instance hardness measures for classification and regression problems. Journal of Information and Data Management15(1), 152–174. https://doi.org/10.5753/jidm.2024.3463