Responsible Data Science : Select Proceedings of ICDSE 2021 / edited by Jimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose.

Format:

Book

Contributor:

Mathew, Jimson, Editor.

Santhosh Kumar, G., Editor.

P., Deepak, Editor.

Jose, Joemon M., Editor.

SpringerLink (Online service)

Series:

Lecture notes in electrical engineering 1876-1119 ; 940

Lecture Notes in Electrical Engineering, 1876-1119 ; 940

Language:

English

Subjects (All):

Data structures (Computer science).

Information theory.

Quantitative research.

Telecommunication.

Data Structures and Information Theory.

Data Analysis and Big Data.

Communications Engineering, Networks.

Local Subjects:

Data Structures and Information Theory.

Data Analysis and Big Data.

Communications Engineering, Networks.

Physical Description:

1 online resource (VIII, 221 pages) : 68 illustrations, 50 illustrations in color.

Edition:

1st edition 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

9789811944536