Dirty Data Processing for Machine Learning
Dirty Data Processing for Machine Learning
English | 2024 | ISBN: 9819976561 | 217 Pages | PDF EPUB (True) | 21 MB
English | 2024 | ISBN: 9819976561 | 217 Pages | PDF EPUB (True) | 21 MB
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.