Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2020, Volume 1 / / edited by Aboul Ella Hassanien, Siddhartha Bhattacharyya, Satyajit Chakrabati, Abhishek Bhattacharya, Soumi Dutta

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (972 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence - Data processing; Computer networks - Security measures; Image processing - Digital techniques; Computer vision; Information storage and retrieval systems; Computational Intelligence; Data Science; Mobile and Network Security; Computer Imaging, Vision, Pattern Recognition and Graphics; Information Storage and Retrieval
• Persona (resp. second.): HassanienAboul Ella
• Nota di contenuto: Mathematical Modelling and Analysis of Walters Liquid Motion with Brownian Diffusion -- Optimization of Quadratic Curve Fitting from Data point using Real Coded Genetic Algorithm -- Blockchain Leveraged Incentive Providing Waste Management System -- Confidentiality Preserving Technique for Multiple Co-Related Sensitive Numeric Attributes -- Boundary Layer Flow and its Dual Solutions over a Stretching Cylinder: Stability Analysis -- Modelling of Two Phase Fluid Flow Over a Stretching Sheet and its Numerical Investigation -- Home Automation Using ESP8266 of IOT Module.
• Sommario/riassunto: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three 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: Emerging technologies in data mining and information security
• ISBN: 981-15-9927-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910488718203321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5365 ; ; 1286