Emerging Technologies in Data Mining and Information Security : Proceedings of IEMIS 2022, Volume 2 / / edited by Paramartha Dutta, Satyajit Chakrabarti, Abhishek Bhattacharya, Soumi Dutta, Celia Shahnaz

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (754 pages)
• Disciplina: 005.8
• Soggetto topico: Computational intelligence; Information storage and retrieval systems; Image processing - Digital techniques; Computer vision; Artificial intelligence - Data processing; Computational Intelligence; Information Storage and Retrieval; Computer Imaging, Vision, Pattern Recognition and Graphics; Data Science
• Persona (resp. second.): DuttaParamartha
• Nota di contenuto: Part 1: Data Science and Data Analytics -- Chapter 1. Iot Security: Recent Trends And Challenges -- Chapter 2. Assistive Technology for Pedagogical Support and Application of Data Analysis in Neurodevelopmental Disability -- Chapter 3. Developing Smart ML Based Recommendation System -- Chapter 4. Unsupervised Hybrid Change Detection using Geospatial Spectral Classification of Time Series Remote Sensing Datasets -- Chapter 5. Trust based resolving of conflicts for collaborative data sharing in online social networks -- Chapter 6. Startup Profit Predictor using Machine Learning Techniques -- Chapter 7. Right To Be Forgotten In A Post- Ai World: How Effective Is This Right Where Machines Do Not Forget?- Chapter 8. Age, Gender, and Gesture Classification using Open-Source Computer Vision -- Chapter 9. Estimated Time of Arrival for Sustainable Transport using Deep Neural Network -- Chapter 10. Texture Feature based on ANN for Security aspects -- Chapter 11. ML based prediction model for cardiovascular disease -- Chapter 12. Sentiment Analysis in Airlines Industry using Machine Learning Techniques -- Chapter 13. Facial recognition to detect mood and play songs using Machine Intelligence -- Chapter 14. Banana Leaf Diseases and Machine Learning Algorithms Applied To Detect Diseases: A Study -- Chapter 15. Covid-19 prediction analysis using machine learning approach. .
• Sommario/riassunto: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022. 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: 981-19-4052-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910627244203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 490