and some processes produce attribute data, which are discrete and categorical rather than continuous and numerical. How do you apply SPC methods to non-normal data or attribute data? Here are some ...

A high-dimensional multi-attribute big data association mining based on semantic feature fusion is proposed. Data collection and cleaning techniques ... Semantic feature fusion methods are used to ...

For data collection, a sparse sampling data collection approach ... For data reconstruction, a real-time multi-attribute data reconstruction method based on subspace is proposed. The proposed method ...

Some of the best data collection tools and methods are: One of the most popular data collection approaches is to integrate much of this information with a tool known as a customer data platform ...