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Record Nr. |
UNINA9910627244203321 |
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Titolo |
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 |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (754 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 490 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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. . |
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Sommario/riassunto |
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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. |
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