Chapter 18
Active Learning
Learning More With Less
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.
| Name: | QUICK |
| Also known as: | Active learning, reverse nearest neighbor. |
| Intent: | When data collection is expensive or slow, it is useful to reflect on the currently available information to define the next, most informative, questions. ... |
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