data cleaning

Terms from Artificial Intelligence: humans at the heart of algorithms

Data cleaning is part of the process of preparing a dataset for use including removing or modifying internal consistencies, out-of-range values or other anomolies.

Used in Chap. 10: pages 132, 137; Chap. 14: page 215