Learning Contexts
Abstract
In this part of the book Data Science for Software Engineering: Sharing Data and Models, we show that sharing all data is less useful that sharing just the relevant data. There are several useful methods for finding those relevant data regions including simple nearest neighbor, or kNN, algorithms; clustering (to optimize subsequent kNN); and pruning away “bad” regions. Also, we show that with clustering, it is possible to repair missing data in project records.
In summary, this chapter proposes our first data analysis pattern; i.e., an abstract description of a specific data mining task. In writing these patterns, we will take care to comment on the connections between patterns from different chapters. ...
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