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Emerging technologies in data mining...

International Conference on Emerging Technologies in Data Mining and Information Security (2022 :)

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Emerging technologies in data mining and information security = proceedings of IEMIS 2022.. Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Emerging technologies in data mining and information security/ edited by Paramartha Dutta ... [et al.].
Reminder of title:	proceedings of IEMIS 2022.
remainder title:	IEMIS 2022
other author:	Dutta, Paramartha.
corporate name:	International Conference on Emerging Technologies in Data Mining and Information Security
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xxix, 759 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Data mining - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-19-4052-1
ISBN:	9789811940521

Emerging technologies in data mining and information security = proceedings of IEMIS 2022.. Volume 2 /
Emerging technologies in data mining and information securityproceedings of IEMIS 2022.Volume 2 /[electronic resource] :IEMIS 2022edited by Paramartha Dutta ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxix, 759 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 4902367-3389 ;. - Lecture notes in networks and systems ;v. 490..

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.

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.

ISBN: 9789811940521

Standard No.: 10.1007/978-981-19-4052-1doiSubjects--Topical Terms:

551626
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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520 $a 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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