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» Data Compression Techniques for Stock Market Prediction
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KDD
2007
ACM
210views Data Mining» more  KDD 2007»
15 years 4 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling
AVI
2006
14 years 11 months ago
Task-at-hand interface for change detection in stock market data
Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousan...
Carmen Sanz Merino, Mike Sips, Daniel A. Keim, Chr...
DATAMINE
2008
219views more  DATAMINE 2008»
14 years 10 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
IAT
2006
IEEE
15 years 4 months ago
A Human-Friendly MAS for Mining Stock Data
Mining stock data can be beneficial to the participants and researchers in the stock market. However, it is very difficult for a normal trader or researcher to apply data mining...
Jiarui Ni, Chengqi Zhang
KDD
1998
ACM
165views Data Mining» more  KDD 1998»
15 years 2 months ago
Daily Prediction of Major Stock Indices from Textual WWW Data
We predict stock markets using information containedin articles published on the Web. Mostly textual articles appearingin the leading and the most influential financial newspapers...
Beat Wüthrich, D. Permunetilleke, S. Leung, V...