Abstract
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant attributes. This paper describes Chi2, a simple and general algorithm that uses the X 2 statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data, and achieves feature selection via discretization. The empirical results demonstrate that Chi2 is effective in feature selection and discretization of numeric and ordinal attributes.
Original language | English (US) |
---|---|
Title of host publication | Proceedings of the International Conference on Tools with Artificial Intelligence |
Editors | Anon |
Publisher | IEEE |
Pages | 388-391 |
Number of pages | 4 |
State | Published - 1995 |
Externally published | Yes |
Event | Proceedings of the 1995 IEEE 7th International Conference on Tools with Artificial Intelligence - Herndon, VA, USA Duration: Nov 5 1995 → Nov 8 1995 |
Other
Other | Proceedings of the 1995 IEEE 7th International Conference on Tools with Artificial Intelligence |
---|---|
City | Herndon, VA, USA |
Period | 11/5/95 → 11/8/95 |
ASJC Scopus subject areas
- Software