FORECASTING FINANCIAL MARKET VOLATILITY BASED ON WEB MINING

被引：0
|
作者：
Chen, Jianxue [1 ]
机构：
[1] Shanghai Univ Engn Sci, Coll Elect & Elect Engn, Shanghai 201620, Peoples R China
来源：
INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS | 2009年
关键词：
Web Mining; Machine Learning; Support Vector Machine;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A new method for predicting short term fluctuation of financial market is proposed in this paper, which is based on web mining technology. A Chinese web textual mining system is developed to predict the daily stock price fluctuation, which aim to manage web-based financial bulletin news or report, and to integrate web mining, Chinese information processing, and support vector machines learning technology. The experimental result shows that this method can produce good precision when applied to Chinese stock market, which can lead to further study on financial market short-term behavior.
引用
收藏
页码：500 / 503
页数：4
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