Emerging Technologies in Data Mining and Information Security [[electronic resource] ] : Proceedings of IEMIS 2018, Volume 3 / / edited by Ajith Abraham, Paramartha Dutta, Jyotsna Kumar Mandal, Abhishek Bhattacharya, Soumi Dutta

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (872 pages) : illustrations
• Disciplina: 006.312
• Soggetto topico: Engineering; Artificial intelligence; Computer security; Computational Intelligence; Artificial Intelligence; Systems and Data Security
• Persona (resp. second.): AbrahamAjith; DuttaParamartha; MandalJyotsna Kumar; BhattacharyaAbhishek; DuttaSoumi
• Nota di contenuto: Proposed Memory Allocation Algorithm for NUMA based Soft Real Time Operating System -- Mathematical Model of Fog Computing Architecture for IoT Micro-Services -- Analysis of Attention Level of Human Body in Different Form -- Analytical Survey on Standards of Internet of Things Framework & Platforms -- A Predictive Resource Management Technique in Grid -- Cryptanalysis of a Chaotic Key based Image Encryption Scheme -- Blind RGB Image Steganography using Discrete Cosine Transformation -- Wavelet and Pyramid Histogram Features for Image based Leaf Detection -- Automated Detection of Glaucoma using Image Processing Techniques -- Chemical Reaction Optimization Algorithm for Word Detection using Pictorial Structure -- Secure Remote Patient Monitoring with Location Based Services -- Development of Joint Intelligent Millimeter Wave Sensing and Communication -- Machine Learning for Mining Imbalanced Data -- Key Feature Extraction and Machine Learning Based Automatic Text Summarization -- Prediction of Gold Price Movement Using Geopolitical Risk as a Factor.
• Sommario/riassunto: The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
• Titolo autorizzato: Emerging technologies in data mining and information security
• ISBN: 981-13-1501-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484844903321
• Lo trovi qui: Univ. Federico II
• Serie: Advances in Intelligent Systems and Computing, . 2194-5357 ; ; 814