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Innovations in data analytics = sele...

Bhattacharya, Abhishek.

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Innovations in data analytics = selected papers of ICIDA 2024.. Volume 3 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Innovations in data analytics/ edited by Abhishek Bhattacharya ... [et al.].
Reminder of title:	selected papers of ICIDA 2024.
remainder title:	ICIDA 2024
other author:	Bhattacharya, Abhishek.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xv, 595 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	ZigZag Local Binary Pattern (ZZ-LBP): A novel local descriptor for Face Analysis in Unconstrained Conditions -- Development of Injectable Nano robots for Targeted Cancer Cell Destruction -- A Neural Network based Efficient Cluster Selection Mechanism for MANET -- Enhancing Well-Being Through Computational Emotion Analysis in Hindi Language Text -- Stock Price Prediction Using ARIMA with Option Chain Data and Technical Indicators -- Resource Scheduling Algorithm Based on Greedy Strategy in Green Cloud -- A Comprehensive Analysis on the Impact of Environmental and Technological Factors on CO2 Emissions Using Machine Learning and Explainable AI -- Etc.
Contained By:	Springer Nature eBook
Subject:	Computational intelligence - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-6303-3
ISBN:	9789819663033

Innovations in data analytics = selected papers of ICIDA 2024.. Volume 3 /
Innovations in data analyticsselected papers of ICIDA 2024.Volume 3 /[electronic resource] :ICIDA 2024edited by Abhishek Bhattacharya ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xv, 595 p. :ill. (some col.), digital ;24 cm. - Lecture notes in networks and systems,v. 14102367-3389 ;. - Lecture notes in networks and systems ;v. 1410..

ZigZag Local Binary Pattern (ZZ-LBP): A novel local descriptor for Face Analysis in Unconstrained Conditions -- Development of Injectable Nano robots for Targeted Cancer Cell Destruction -- A Neural Network based Efficient Cluster Selection Mechanism for MANET -- Enhancing Well-Being Through Computational Emotion Analysis in Hindi Language Text -- Stock Price Prediction Using ARIMA with Option Chain Data and Technical Indicators -- Resource Scheduling Algorithm Based on Greedy Strategy in Green Cloud -- A Comprehensive Analysis on the Impact of Environmental and Technological Factors on CO2 Emissions Using Machine Learning and Explainable AI -- Etc.

This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during 18-19 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. The work is presented in three volumes.

ISBN: 9789819663033

Standard No.: 10.1007/978-981-96-6303-3doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Innovations in data analytics = selected papers of ICIDA 2024.. Volume 3 /
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505 0 $a ZigZag Local Binary Pattern (ZZ-LBP): A novel local descriptor for Face Analysis in Unconstrained Conditions -- Development of Injectable Nano robots for Targeted Cancer Cell Destruction -- A Neural Network based Efficient Cluster Selection Mechanism for MANET -- Enhancing Well-Being Through Computational Emotion Analysis in Hindi Language Text -- Stock Price Prediction Using ARIMA with Option Chain Data and Technical Indicators -- Resource Scheduling Algorithm Based on Greedy Strategy in Green Cloud -- A Comprehensive Analysis on the Impact of Environmental and Technological Factors on CO2 Emissions Using Machine Learning and Explainable AI -- Etc.
520 $a This book features research papers presented at the Third International Conference on Innovations in Data Analytics (ICIDA 2024), held at Eminent College of Management and Technology (ECMT), West Bengal, India, during 18-19 December 2024. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry. The work is presented in three volumes.
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