RESEARCH PAPERS - An Exploration of a Set of Entropy-Based Hybrid Splitting Methods for Decision Tree Induction - Decision tree (DT) induction is among the more popular of the data mining techniques. An important component of DT induction algorithms is the splitting method, with the most commonly used method being based on the Conditional Entropy family.
| Year of publication: |
2004
|
|---|---|
| Authors: | Osei-Bryson, Kweku-Muata ; Giles, Kendall |
| Published in: |
Journal of database management : JDM ; an official publication of the International Data Management Institute of the Information Resources Management Association. - Harrisburg, Pa. : Idea Group Publ., ISSN 1063-8016, ZDB-ID 11504821. - Vol. 15.2004, 3, p. 1-17
|