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Responsible Data Science = Select Proceedings of ICDSE 2021 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Responsible Data Science/ edited by Jimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose.
Reminder of title:	Select Proceedings of ICDSE 2021 /
other author:	Mathew, Jimson.
Description:	VIII, 221 p. 68 illus., 50 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data structures (Computer science). -
Online resource:	https://doi.org/10.1007/978-981-19-4453-6
ISBN:	9789811944536

Responsible Data Science = Select Proceedings of ICDSE 2021 /
Responsible Data ScienceSelect Proceedings of ICDSE 2021 /[electronic resource] :edited by Jimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose. - 1st ed. 2022. - VIII, 221 p. 68 illus., 50 illus. in color.online resource. - Lecture Notes in Electrical Engineering,9401876-1119 ;. - Lecture Notes in Electrical Engineering,317.

End-to-end Hierarchical Approach for Emotion Detection in short texts -- Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias -- Exploring Rawlsian Fairness for K-Means Clustering -- Hybrid Explainable Educational Recommender using Self Attention and Knowledge Based Systems for E-Learning in MOOC Platforms -- An Improved Recommendation System with Aspect-Based Sentiment Analysis -- Exploring Biomarker Identification and Mortality Prediction of COVID-19 Patients using ML Algorithms -- COVID-19 cases prediction based on LSTM and SIR model using social media -- Joint Geometrical and Statistical Alignment using Triplet loss for Deep Domain Adaptation -- Virtual Try-On Using Style Transfer -- Attention Mechanism in Convolutional Recurrent Neural Network for Improving Recognition Accuracy in Printed Devanagari Text.

This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related to data science, such as fairness, trust, ethics, confidentiality, transparency, and accuracy. The chapters in this book represent research from different perspectives that offer novel theoretical implications that span multiple disciplines. The book will serve as a reference resource for researchers and practitioners in academia and industry.

ISBN: 9789811944536

Standard No.: 10.1007/978-981-19-4453-6doiSubjects--Topical Terms:

680370
Data structures (Computer science).

LC Class. No.: QA76.9.D35

Dewey Class. No.: 005.73

Responsible Data Science = Select Proceedings of ICDSE 2021 /
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