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001451179 001__ 1451179
001451179 003__ OCoLC
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001451179 019__ $$a1351187260
001451179 020__ $$a9789811944536$$q(electronic bk.)
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001451179 0247_ $$a10.1007/978-981-19-4453-6$$2doi
001451179 035__ $$aSP(OCoLC)1350791727
001451179 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dUKAHL$$dOCLCQ
001451179 049__ $$aISEA
001451179 050_4 $$aQA76.9.Q36
001451179 08204 $$a001.4/22$$223/eng/20221115
001451179 1112_ $$aInternational Conference on Data Science & Engineering$$n(7th :$$d2021)
001451179 24510 $$aResponsible data science :$$bselect proceedings of ICDSE 2021 /$$cJimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose, editors.
001451179 24630 $$aICDSE 2021
001451179 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001451179 264_4 $$c©2022
001451179 300__ $$a1 online resource (viii, 221 pages) :$$billustrations (some color).
001451179 336__ $$atext$$btxt$$2rdacontent
001451179 337__ $$acomputer$$bc$$2rdamedia
001451179 338__ $$aonline resource$$bcr$$2rdacarrier
001451179 4901_ $$aLecture notes in electrical engineering ;$$vvolume 940
001451179 500__ $$aInternational conference proceedings.
001451179 5050_ $$aEnd-to-end Hierarchical Approach for Emotion Detection in short texts -- Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias -- Exploring Rawlsian Fairness for K-Means Clustering -- Hybrid Explainable Educational Recommender using Self Attention and Knowledge Based Systems for E-Learning in MOOC Platforms -- An Improved Recommendation System with Aspect-Based Sentiment Analysis -- Exploring Biomarker Identification and Mortality Prediction of COVID-19 Patients using ML Algorithms -- COVID-19 cases prediction based on LSTM and SIR model using social media -- Joint Geometrical and Statistical Alignment using Triplet loss for Deep Domain Adaptation -- Virtual Try-On Using Style Transfer -- Attention Mechanism in Convolutional Recurrent Neural Network for Improving Recognition Accuracy in Printed Devanagari Text.
001451179 506__ $$aAccess limited to authorized users.
001451179 520__ $$aThis book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related to data science, such as fairness, trust, ethics, confidentiality, transparency, and accuracy. The chapters in this book represent research from different perspectives that offer novel theoretical implications that span multiple disciplines. The book will serve as a reference resource for researchers and practitioners in academia and industry.
001451179 588__ $$aDescription based on print version record.
001451179 650_0 $$aQuantitative research$$vCongresses.
001451179 650_0 $$aElectronic data processing$$vCongresses.
001451179 650_0 $$aData mining$$xMoral and ethical aspects$$vCongresses.
001451179 655_0 $$aElectronic books.
001451179 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001451179 655_7 $$aConference papers and proceedings.$$2lcgft
001451179 7001_ $$aMathew, Jimson,$$eeditor.
001451179 7001_ $$aG., Santhosh Kumar,$$eeditor.
001451179 7001_ $$aP., Deepak,$$eeditor.
001451179 7001_ $$aJose, Joemon M.,$$eeditor.
001451179 77608 $$iPrint version:$$tRESPONSIBLE DATA SCIENCE.$$d[Place of publication not identified] : SPRINGER, 2022$$z9811944520$$w(OCoLC)1322812151
001451179 830_0 $$aLecture notes in electrical engineering ;$$vv. 940.
001451179 852__ $$bebk
001451179 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4453-6$$zOnline Access$$91397441.1
001451179 909CO $$ooai:library.usi.edu:1451179$$pGLOBAL_SET
001451179 980__ $$aBIB
001451179 980__ $$aEBOOK
001451179 982__ $$aEbook
001451179 983__ $$aOnline
001451179 994__ $$a92$$bISE