TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-19-4453-6
DO  - doi
AB  - 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.
T1  - Responsible data science :select proceedings of ICDSE 2021 /
AU  - Mathew, Jimson,
AU  - G., Santhosh Kumar,
AU  - P., Deepak,
AU  - Jose, Joemon M.,
VL  - volume 940
CN  - QA76.9.Q36
N1  - International conference proceedings.
ID  - 1451179
KW  - Quantitative research
KW  - Electronic data processing
KW  - Data mining
SN  - 9789811944536
SN  - 9811944539
TI  - Responsible data science :select proceedings of ICDSE 2021 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4453-6
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4453-6
ER  -