data reduction

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

Sometimes we have so much data it cannot be processed in its entirety, in which case some form of data reduction is necessary. This may be about reducing the number of data items and/or reducing the size of each item. The nunber of data items may be reduced by filtering so that only a subset of the data items are used, or in some way grouping items, for example working with area averages for geograohic data. Similarly we might choose to only use a subset of features in each data item, combine features, or process complex features (such as images).

Used in Chap. 6: pages 84, 85; Chap. 7: page 97; Chap. 8: pages 102, 107, 108, 115, 116; Chap. 9: page 129; Chap. 10: page 143; Chap. 18: page 285