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- Title
A Searching Method of Candidate Segmentation Point in SPRINT Classification.
- Authors
Wang, Zhihao; Wang, Junfang; Huo, Yonghua; Tuo, Yanjun; Yang, Yang
- Abstract
SPRINT algorithm is a classical algorithm for building a decision tree that is a widely used method of data classification. However, the SPRINT algorithm has high computational cost in the calculation of attribute segmentation. In this paper, an improved SPRINT algorithm is proposed, which searches better candidate segmentation point for the discrete and continuous attributes. The experiment results demonstrate that the proposed algorithm can reduce the computation cost and improve the efficiency of the algorithm by improving the segmentation of continuous attributes and discrete attributes.
- Subjects
ALGORITHMS; DECISION trees; IMAGE segmentation; DATA; SEARCH algorithms
- Publication
Journal of Electrical & Computer Engineering, 2016, p1
- ISSN
2090-0147
- Publication type
Article
- DOI
10.1155/2016/2168478