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Profltability prediction model based on support vector machines
Zhong, Ping ; Cen, Yong ; Xi, Bin ; Xi B(席斌)
2007
英文摘要Conference Name:4th International Conference on Fuzzy Systems and Knowledge Discovery. Conference Address: Haikou, PEOPLES R CHINA. Time:AUG 24-27, 2007.; Classification techniques which hold a very important place in business and economic research have drawn many research interests in previous literatures. Recent studies have shown that machine learning techniques can achieve better performance. However, the application of support vector machines (SVM) for profitability prediction has not been widely explored This study investigates the efficacy of applying SVM in profitability prediction problem and attempts to suggest a new model with better explanatory power and stability. The experimental results demonstrate that the proposed classifier of SVM approach to the problem of profitability prediction of companies upon the basis of a set of financial ratios.
语种英语
出处http://dx.doi.org/10.1109/FSKD.2007.460
出版者IEEE COMPUTER SOC
内容类型其他
源URL[http://dspace.xmu.edu.cn/handle/2288/86494]  
专题信息技术-会议论文
推荐引用方式
GB/T 7714
Zhong, Ping,Cen, Yong,Xi, Bin,et al. Profltability prediction model based on support vector machines. 2007-01-01.
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