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Title:
A Modified Algorithm for Missing Values in Data Stream Decision Tree Classification
Author: Hou, Xu-shan ; Lv, Pin ; Wang, Hao
Conference Name: International Conference on Artificial Intelligence and Software Engineering (AISE)
Conference Date: JAN 11-12, 2014
Issued Date: 2014
Conference Place: Phuket, THAILAND
Keyword: Data stream ; Classification ; Decision tree ; Missing values
Publish Place: DESTECH PUBLICATIONS, INC
Indexed Type: CPCI
ISBN: 978-1-60595-150-8
Department: [Hou, Xu-shan; Lv, Pin; Wang, Hao] Chinese Acad Sci, Inst Software, Sci & Technol Integrated Informat Syst Lab, Beijing 100190, Peoples R China.
Abstract: Missing values in data stream will affect the accuracy of classification. It is significant to research how to handle missing values in data stream decision tree classification. Considering the time performance of an existing algorithm is not good enough, a more efficient algorithm is proposed in this paper. The modified algorithm makes improvements in two aspects: on the one hand, according to the standard deviation of attribute value, we select different process methods for missing values, which could reduce the time complexity; on the other hand, we optimize the update mechanism, which could reduce the update time. The experiment results show that the run-time of our algorithm is reduced by 20%-70%, while the accuracy is the same as the existing algorithm.
English Abstract: Missing values in data stream will affect the accuracy of classification. It is significant to research how to handle missing values in data stream decision tree classification. Considering the time performance of an existing algorithm is not good enough, a more efficient algorithm is proposed in this paper. The modified algorithm makes improvements in two aspects: on the one hand, according to the standard deviation of attribute value, we select different process methods for missing values, which could reduce the time complexity; on the other hand, we optimize the update mechanism, which could reduce the update time. The experiment results show that the run-time of our algorithm is reduced by 20%-70%, while the accuracy is the same as the existing algorithm.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/16520
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Hou, Xu-shan,Lv, Pin,Wang, Hao. A Modified Algorithm for Missing Values in Data Stream Decision Tree Classification[C]. 见:International Conference on Artificial Intelligence and Software Engineering (AISE). Phuket, THAILAND. JAN 11-12, 2014.
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