Data Mining and Information Security
Proceedings of Icdmis 2024, Volume 1
Herausgegeben:Bhattacharya, Abhishek; Dutta, Soumi; Peng, Sheng-Lung; Yang, Xin She
Data Mining and Information Security
Proceedings of Icdmis 2024, Volume 1
Herausgegeben:Bhattacharya, Abhishek; Dutta, Soumi; Peng, Sheng-Lung; Yang, Xin She
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This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7 8, 2024. 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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This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7 8, 2024. 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.
Produktdetails
- Produktdetails
- Lecture Notes in Networks and Systems 1385
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-6045-2
- Seitenzahl: 674
- Erscheinungstermin: 2. September 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9789819660452
- ISBN-10: 9819660459
- Artikelnr.: 73687496
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Lecture Notes in Networks and Systems 1385
- Verlag: Springer / Springer Nature Singapore / Springer, Berlin
- Artikelnr. des Verlages: 978-981-96-6045-2
- Seitenzahl: 674
- Erscheinungstermin: 2. September 2025
- Englisch
- Abmessung: 235mm x 155mm
- ISBN-13: 9789819660452
- ISBN-10: 9819660459
- Artikelnr.: 73687496
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Dr. Abhishek Bhattacharya is Associate 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 55conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. He has 3 book chapters in Taylor & Francis Group EAI. He is Peer Reviewer and TPC Member in different international journals. He was Editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, and special issues in IJWLTT. He is Member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. He has published 3 patents and 15 books. Dr. Soumi Dutta is Associate Professor 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 medalist), 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 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis, etc. She has 25 book and book chapters in Taylor & Francis Group and IGI Global. She is Peer Reviewer and TPC Member in different international journals. She is Active Member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG. She has published 8 patents and 1 copyright. Sheng-Lung Peng is a Professor at the Department of Creative Technologies and Product Design, and the Dean of the School of Innovative Design and Management, National Taipei University of Business in Taiwan. He serves as the President of the Association of Taiwan Computer Programming Contest and the Association of Algorithms and Computation Theory, and the Codirector of the ICPC Asia Pacific. He is a director of the Institute of Information and Computing Machinery and the Taiwan Association of Cloud Computing. He is also a supervisor of the Chinese Information Literacy Association. Dr. Peng has edited several special issues at journals, such as Frontiers in Public Health, Journal of Internet Technology, IEEE Internet of Things Magazine, Computers and Electrical Engineering, Journal of Information Science and Engineering, and so on. His research interests are algorithm design in the fields of artificial intelligence, bioinformatics, combinatorics, data mining, and networking. Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and then later at National Physical Laboratory (UK) as a Senior Research Scientist. Now he is Reader at Middlesex University London, and a co-Editor of the Springer Tracts in Nature-Inspired Computing. He is also an elected Fellow of the Institute of Mathematics and its Applications (FIMA, UK) 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 (2015 to 2020). He has published more than 40 books and more than 350 peer-reviewed research papers with more than 95,600 citations. He has been on the prestigious list of most influential researchers or highly-cited researchers (Web of Sciences) for ten consecutive years since 2016.
GPU-Accelerated Monte Carlo Simulations for Real-time Financial Risk Analysis.- Prevention of cyberattacks on Personal Identifiable Information in Large Language Models using Data Anonymization Techniques along with Encryption.- Insights in the Data: Ensuring Quality in Healthcare Big Data.- Multimodal Biometric Homomorphic Encryption in Wavelet Domain.- Ethical AI in Smart Agriculture 4.0: A Consortium of IoT and AI for Sustainable Farmin.
GPU-Accelerated Monte Carlo Simulations for Real-time Financial Risk Analysis.- Prevention of cyberattacks on Personal Identifiable Information in Large Language Models using Data Anonymization Techniques along with Encryption.- Insights in the Data: Ensuring Quality in Healthcare Big Data.- Multimodal Biometric Homomorphic Encryption in Wavelet Domain.- Ethical AI in Smart Agriculture 4.0: A Consortium of IoT and AI for Sustainable Farmin.