Reprint
Principles and Applications of Data Science
Edited by
June 2022
168 pages
- ISBN978-3-0365-4527-1 (Hardback)
- ISBN978-3-0365-4528-8 (PDF)
This book is a reprint of the Special Issue Principles and Applications of Data Science that was published in
Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
deep learning; user preference learning; feature fusion; similar user recommendation; deep learning; convolutional neural network; image classification; electronic health records; fair exchange; forward secrecy; raw material; mining; terminology; dictionary; terminology application; mobile application; digitization; lexical data; corpus data; linguistic linked open data; neuro-fuzzy; prediction model; air pollution; PM2.5; PM10; self-attention mechanism; graph neural network; data mining; behaviour sequence pattern; behaviour network; water crystal; deep learning; fine-tuning; supervised; classification; combined classification model; deep transfer learning; focal-segmental; kidney disease; kidney glomeruli; medical image; sclerosed glomeruli; data mining; predictive analytics; Internet of Things; peasant farming; smart farming system; crop production prediction