Principles and Applications of Data Science

• Other Authors: Liu, Chuan-Ming (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; History of engineering & technology; deep learning; user preference learning; feature fusion; similar user recommendation; 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; fine-tuning; supervised; classification; combined classification model; deep transfer learning; focal-segmental; kidney disease; kidney glomeruli; medical image; sclerosed glomeruli; predictive analytics; Internet of Things; peasant farming; smart farming system; crop production prediction
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.