An overview of end-to-end entity resolution for big data
One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …
Machine knowledge: Creation and curation of comprehensive knowledge bases
Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
Data collection and quality challenges in deep learning: A data-centric ai perspective
Data-centric AI is at the center of a fundamental shift in software engineering where machine
learning becomes the new software, powered by big data and computing infrastructure …
learning becomes the new software, powered by big data and computing infrastructure …
Efficient data-driven machine learning models for cardiovascular diseases risk prediction
Cardiovascular diseases (CVDs) are now the leading cause of death, as the quality of life
and human habits have changed significantly. CVDs are accompanied by various …
and human habits have changed significantly. CVDs are accompanied by various …
Data collection and quality challenges for deep learning
Software 2.0 refers to the fundamental shift in software engineering where using machine
learning becomes the new norm in software with the availability of big data and computing …
learning becomes the new norm in software with the availability of big data and computing …
[图书][B] Principles of distributed database systems
MT Özsu, P Valduriez - 1999 - Springer
The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …
AI meets database: AI4DB and DB4AI
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …
make database more intelligent (AI4DB). For example, traditional empirical database …
Database meets artificial intelligence: A survey
Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …
make database more intelligent (AI4DB). For example, traditional empirical database …
Machine learning accelerates the materials discovery
J Fang, M Xie, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …
technology becomes more and more accessible, the material design method based on …
A data quality-driven view of mlops
Developing machine learning models can be seen as a process similar to the one
established for traditional software development. A key difference between the two lies in the …
established for traditional software development. A key difference between the two lies in the …