Research Advances in Data Mining Techniques and Applications

*Edited by Yves Rybarczyk*

Published in London, United Kingdom

Research Advances in Data Mining Techniques and Applications http://dx.doi.org/10.5772/intechopen.107722 Edited by Yves Rybarczyk

#### Contributors

Abraham Meidan, Azad Adil Shareef, Dai Mitsushima, Enrique Luna-Ramirez, Haithem Taha Mohammed Ali, Hamza Saad, Iván Castillo-Zúñiga, Jaime Iván López-Veyna, Jin Wei, Jorge Soria-Cruz, Junko Ishikawa, Maria-Isabel Jimenez-Serrania, S.M. Mazharul Hoque, Shingo Mabu, Takashi Kuremoto, Ulises Alejandro Duarte Velazquez, Yang Weikang, Yousef El Gimati

#### © The Editor(s) and the Author(s) 2024

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#### Notice

Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book.

First published in London, United Kingdom, 2024 by IntechOpen IntechOpen is the global imprint of INTECHOPEN LIMITED, registered in England and Wales, registration number: 11086078, 167-169 Great Portland Street, London, W1W 5PF, United Kingdom

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Research Advances in Data Mining Techniques and Applications Edited by Yves Rybarczyk p. cm.

This title is part of the Artificial Intelligence Book Series, Volume 25 Topic: Machine Learning and Data Mining Series Editor: Andries Engelbrecht Topic Editor: Marco Antonio Aceves-Fernández

Print ISBN 978-1-83769-078-7 Online ISBN 978-1-83769-079-4 eBook (PDF) ISBN 978-1-83769-080-0 ISSN 2633-1403
