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A Searching Method of Candidate Segmentation Point in SPRINT Classification
Joint Authors
Wang, Zhihao
Wang, Junfang
Huo, Yonghua
Tuo, Yanjun
Yang, Yang
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-24
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Wang, Zhihao& Wang, Junfang& Huo, Yonghua& Tuo, Yanjun& Yang, Yang. 2016. A Searching Method of Candidate Segmentation Point in SPRINT Classification. Journal of Electrical and Computer Engineering،Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1108417
Modern Language Association (MLA)
Wang, Zhihao…[et al.]. A Searching Method of Candidate Segmentation Point in SPRINT Classification. Journal of Electrical and Computer Engineering No. 2016 (2016), pp.1-5.
https://search.emarefa.net/detail/BIM-1108417
American Medical Association (AMA)
Wang, Zhihao& Wang, Junfang& Huo, Yonghua& Tuo, Yanjun& Yang, Yang. A Searching Method of Candidate Segmentation Point in SPRINT Classification. Journal of Electrical and Computer Engineering. 2016. Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1108417
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108417