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Trends of Data Science and Applications = Theory and Practices /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Trends of Data Science and Applications/ edited by Siddharth Swarup Rautaray, Phani Pemmaraju, Hrushikesha Mohanty.
Reminder of title:	Theory and Practices /
other author:	Rautaray, Siddharth Swarup.
Description:	XIII, 341 p. 171 illus., 140 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data structures (Computer science). -
Online resource:	https://doi.org/10.1007/978-981-33-6815-6
ISBN:	9789813368156

Trends of Data Science and Applications = Theory and Practices /
Trends of Data Science and ApplicationsTheory and Practices /[electronic resource] :edited by Siddharth Swarup Rautaray, Phani Pemmaraju, Hrushikesha Mohanty. - 1st ed. 2021. - XIII, 341 p. 171 illus., 140 illus. in color.online resource. - Studies in Computational Intelligence,954 1860-9503 ;. - Studies in Computational Intelligence,564.

NLP for Sentiment Computation -- Productizing an Artificial Intelligence solution for Intelligent Detail Extraction- Synergy of Symbolic and Sub-symbolic Artificial Intelligence techniques -- Digital Consumption Pattern and Impacts of Social Media: Descriptive Statistical Analysis -- Applicational Statistics in Data Science & Machine Learning -- Evolutionary algorithms based machine learning models -- Application to Predict the Impact of COVID-19 in India using Deep Learning -- Role of Data Analytics in Bio Cyber Physical Systems -- Evolution of Sentiment Analysis : Methodologies and Paradigms -- Healthcare Analytics: An advent to mitigate the risks and impacts of a Pandemic -- Image Classification for Binary Classes using Deep Convolutional Neural Network: An Experimental Study. .

This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional.

ISBN: 9789813368156

Standard No.: 10.1007/978-981-33-6815-6doiSubjects--Topical Terms:

680370
Data structures (Computer science).

LC Class. No.: QA76.9.D35

Dewey Class. No.: 005.73

Trends of Data Science and Applications = Theory and Practices /
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