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Can I read Dirty Data Processing for Machine Learning on EtoBox?
Dirty Data Processing for Machine Learning by Qi, Zhixin, Wang, Hongzhi, Dong, Zejiao is a computer science book available to read on EtoBox.
What is Dirty Data Processing for Machine Learning about?
In both the database and machine learning communities, data quality has become a serious issue which cannot be ignored. In this context, we refer to data with quality problems as “dirty data.” Clearly, for a given data mining or machine learning task, dirty data in both training and test datasets can affect the accuracy of results. Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing. Although existing data cleaning methods improve da
Who reads Dirty Data Processing for Machine Learning?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Qi, Zhixin, Wang, Hongzhi, Dong, Zejiao
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789819976560
- Category
- computer science
- Subjects
- Management, Science, Mathematics
- Updated
- 2026-03-25
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