Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2020, Volume 3 / / edited by João Manuel R. S. Tavares, Satyajit Chakrabarti, Abhishek Bhattacharya, Sujata Ghatak

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (973 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Data structures (Computer science); Information theory; Artificial intelligence; Computer networks - Security measures; Image processing - Digital techniques; Computer vision; Information storage and retrieval systems; Computational Intelligence; Data Structures and Information Theory; Artificial Intelligence; Mobile and Network Security; Computer Imaging, Vision, Pattern Recognition and Graphics; Information Storage and Retrieval
• Persona (resp. second.): TavaresJoão Manuel R. S.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Chapter 1. Layered Ensemble Learning for Effective Binary Classification -- Chapter 2. A Preliminary Study of Knowledge Graphs and their Construction -- Chapter 3. A Simple Ensemble Learning Algorithm for a Real time High Dimensional Data -- Chapter 4. Promising Highest Resilient Network using preventive Route selection algorithm- IPSDSDV in MANET -- Chapter 5. An ANN Approach of Twisted Fiestel Block Ciphering -- Chapter 6. Musical Instrument Classification Based On Machine Learning Algorithm -- Chapter 7. Analytical Survey and Comparative Analysis of Socialized Network via Data Mining and Machine Learning Techniques -- Chapter 8. Assessment of Severity Classification of Traffic Accidents on the basis of K-means Clustering and Adaptive Neuro-Fuzzy Inference System -- Chapter 9. Design and Implementation of Login Based Wi-Fi Hotspot Network for an University Campus -- Chapter 10. A Framework to Capture the Shift in Dynamics of a Multi-Phase Protest - A Case Study of Hong Kong Protests -- Chapter11. A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification -- Chapter 12. ECG Signal Denoising Using A Novel Solution To The Heat Equation Through Wavelet Transform -- Chapter 13. Design and Implementation of Chao-Cryptic Architecture on FPGA for Secure Audio Communication -- Chapter 14. Diffusion + Confusion: Chaos Assisted Two Fold Cryptosystem for Secure Video Transmission -- Chapter 15. Chaos Blend LFSR – Duo Approach on FPGA for Medical Image Security.
• 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: 981-15-9774-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483313703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 164