Data Mining and Information Security

Proceedings of ICDMIS 2025, Volume 3
Erscheinungsjahr 2026
ISBN: 978-3-032-25954-7
Verlag: Springer

Buch, Englisch, Band 1971, 609 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 937 g

Reihe: Lecture Notes in Networks and Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Bhattacharya, Abhishek

Dutta, Soumi

Goon, Surajit

Yang, Xin-She

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit

Inhaltsverzeichnis

Advancing Healthcare Through Medical Informatics: Bridging Technology and Patient Care.- A Novel Survey Platform Design: Addressing Gaps in Google Forms, SurveyMonkey, and Typeform for Enhanced Usability and Effectiveness.- AI-Powered Candidate Selection: Machine Learning and Demographic Clustering in Indian Elections.- HGFeNet: A Hypergraph-Based Deep Learning Framework for Improved Topographic Feature Extraction.- InDraNet: A Novel Explainable Framework for Cervical Cancer Risk Assessment Leveraging Transfer Learning.

Über Autor(innen)

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. Surajit Goon is a distinguished academic with over 17 years of experience in the field of Computer Science and Engineering. Currently serving as the Academic Director at Eminent Group of Colleges in Kolkata, Dr. Goon brings a wealth of knowledge and expertise to his role. With a Ph.D. from Brainware University in West Bengal, an M.Tech from Birla Institute of Technology in Ranchi, and an MCA from Biju Pattanayak University of Technology in Orissa, Dr. Goon has a solid educational foundation in his field. His contributions to academia include more than 20 publications in reputable conferences and journals, including Springer and IEEE. Dr. Goon has also authored a book on Unix and Shell Programming and holds three patents. His research interests primarily focus on Data Science and Visual Cryptography, reflecting his commitment to cutting-edge areas of computer science.

Prof. Xin-She Yang received his DPhil in applied mathematics from the University of Oxford, UK. He then worked at Cambridge University, UK and later at National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London and the Co-Editor of the book series: Springer Tracts in Nature-Inspired Computing. He is also an Elected Fellow of the Institute of Mathematics and its Applications (IMA) and Fellow of Asian Computational Intelligence Society. He was the IEEE Computational Intelligence Society (CIS) Chair for the Task Force on Business Intelligence and Knowledge Management from 2015 to 2020. He has edited more than 50 books and published more than 400 peer-reviewed research papers with more than 103700 citations, and has been on the prestigious list of highly-cited researchers (Web of Sciences) for nine consecutive years from 2016 to 2024.