Data Mining and Information Security : Proceedings of ICDMIS 2024, Volume 4 / / edited by Soumi Dutta, Abhishek Bhattacharya, Valentina E. Balas, Mohammad Kamrul Hasan

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XVIII, 629 p. 302 illus., 260 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Data mining; Data protection; Computational Intelligence; Artificial Intelligence; Data Mining and Knowledge Discovery; Data and Information Security
• Persona (resp. second.): DuttaSoumi; BhattacharyaAbhishek; BalasValentina E; HasanMohammad Kamrul
• Nota di contenuto: Exploring AI Classifiers to Identify Gestational Diabetes Mellitus during pregnancy -- Indian Sign Language Translator -- Desktop-based virtual assistant using python based on natural language processing -- Leveraging Machine Learning for Robust IoT Security: A Focus on Anomaly Detection Systems -- Analyzing the Effectiveness of Machine Learning Algorithms in Intrusion Detection.
• Sommario/riassunto: 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.
• Titolo autorizzato: Data Mining and Information Security
• ISBN: 981-9660-63-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911021976603321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1388