Druck auf Anfrage Neuware - Printed after ordering - This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2025) held in Phnom Penh in collaboration with Eminent College of Management & Technology (ECMT) and University of Puthisastra, Cambodia, during October 7 8, 2025. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.

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Detalles bibliogr�ficos

T�tulo: Data Mining and Information Security : Proceedings of ICDMIS 2025, Volume 4
Editor: Springer
Fecha de publicaci�n: 2026
Idioma: Ingl�s
ISBN 10: 3032259576
ISBN 13: 9783032259578
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 235�mil�metros de ancho por 155 de alto por 29 de largo
Peso: 809 gramos

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Sinopsis

This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2025) held in Phnom Penh in collaboration with Eminent College of Management & Technology (ECMT) and University of Puthisastra, Cambodia, during October 7–8, 2025. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.

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Dr. Abhishek Bhattacharya is Professor at Sister Nivedita University, India. He has completed his Ph.D (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 55 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, CIIR 2024, ICDMIS 2024. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 3 patents and 20 books.

Dr. Soumi Dutta isProfessor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D(CST), IIEST, Shibpur. She received her B.Tech(IT) and M.Tech(CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis and Image Processing. She has published more than 70 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 45 Books and Book Chapters in Taylor & Francis Group and IGI Global. She is peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as CSI, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 10 patents and 1 copyright. Dr. Soumi Dutta has delivered 43 Keynote talks in Different International Conferences. She has been awarded with Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, International Teacher Award 2020-21 by the Ministry of MSME, Government of India.

Dr. Samanta works as Department Chair and Assistant Professor in the Department of Computing and Information Technologies at the American Academy of Technology Tirana (commonly known as Rochester Institute of Technology – Tirana), Albania , Europe. He obtained his Ph.D. in Computer Science and Engg. from the National Institute of Technology, Durgapur, India, in SAR Image Processing. He is a co-author of 13 books and the co-editor of 28 books, available for sale on Amazon and Flipkart. He has presented various papers at international conferences and received Best Paper awards. He is the author and co-author of 21 Book Chapters. He also serves as acquisition editor for Springer, Wiley, CRC, Scrivener Publishing LLC, Beverly, USA, and Elsevier.

Dr. Paramartha Dutta, born 1966, a B. Stat. (Hons.), M. Stat., M. Tech. (Computer Science), all from Indian Statistical Institute, and a Ph. D (Engineering) from the Bengal Engineering and Science University, Shibpur - presently Indian Institute of Engineering Science and Technology is presently a Professor in the Department of Computer and System Sciences, Visva Bharati University, India.

Dr. Paramartha Dutta is a Fellow of IE(India), Fellow of IETE, Fellow of IET(UK), Fellow of Royal Society in Arts (UK), Senior Member of IEEE, Senior Member of ACM.

He is the recipient of prestigious awards such as
• "Distinguished Scientist in Computer Science and Engineering Award" in 2018 conferred by the Venus International Foundation
• "Excellence in Science and Technology Award" in 2018 conferred by the Indian Science Congress Association, Government of India.
• "INSA Teacher Award" in 2019 conferred by the Indian National Science Academy, Government of India.
• "Lifetime Achievement Award" in 2020 conferred by the VDGOOD Technology Factory.
• "Lifetime Achievement Award" in 2020 conferred by the Science Father.
• "Global Faculty Award" in 2020 conferred by the AKS Education Awards.
• "International Scientist Award" in 2021 conferred by the International Research Award, England.
.
Dr. Dutta has - (i) 10 authored books (ii) 24 edited books, (iii) around 300 research articles published/accepted for publication in various esteemed journals, conference proceedings and book chapters in edited volumes of highly reputed International publishing houses, (iv) 17 patents granted/published.

Dr. Dutta has guided 17 Ph. D awarded scholars apart from 08 who are registered scholars pursuing their Ph. D under his supervision.

Dr. Adam Slowik (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees in computer engineering and electronics, in 2001, and the Ph.D. degree in electronics with distinction from the Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland, in 2007, respectively, and the Dr. habil. degree in computer science (intelligent systems) from the Department of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Czestochowa, Poland, in 2013. Since October 2013, he has been an Associate Professor with the Department of Electronics and Computer Science, Koszalin University of Technology. He is an Author or Co-Author of more than 180 refereed articles in international journals, two books, and conference proceedings, including two invited talks. His research interests include soft computing, machine learning, neural networks, fuzzy systems, computational intelligence, bio-inspired optimization algorithms, and their engineering applications.

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