Abstract
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant attributes. Chi2 is a simple and general algorithm that uses the χ 2 statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data. It achieves feature selection via discretization. It can handle mixed attributes, work with multiclass data, and remove irrelevant and redundant attributes.
Original language | English (US) |
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Pages (from-to) | 642-645 |
Number of pages | 4 |
Journal | IEEE Transactions on Knowledge and Data Engineering |
Volume | 9 |
Issue number | 4 |
DOIs | |
State | Published - 1997 |
Externally published | Yes |
Keywords
- Discretization
- Feature selection
- Pattern classification
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Computational Theory and Mathematics