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024 7 _a10.1007/978-981-19-4453-6
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050 4 _aQA76.9.D35
050 4 _aQ350-390
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245 1 0 _aResponsible Data Science
_h[electronic resource] :
_bSelect Proceedings of ICDSE 2021 /
_cedited by Jimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aVIII, 221 p. 68 illus., 50 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v940
505 0 _aEnd-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.
520 _aThis 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.
650 0 _aData structures (Computer science).
650 0 _aInformation theory.
650 0 _aQuantitative research.
650 0 _aTelecommunication.
650 1 4 _aData Structures and Information Theory.
650 2 4 _aData Analysis and Big Data.
650 2 4 _aCommunications Engineering, Networks.
700 1 _aMathew, Jimson.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSanthosh Kumar, G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aP., Deepak.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJose, Joemon M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811944529
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v940
856 4 0 _uhttps://doi.org/10.1007/978-981-19-4453-6
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