Association Mining System for Financial Ratios and Stock Prices in China and Hong Kong Stock Exchange

Chan, Eve Man Hin; Leung, Howan; Luo, Weimin

doi:10.1007/3-540-32391-0_118

Cited by 2 publications

(2 citation statements)

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“…It is one of the fastest growing fields in the computer industry and provides a wide range of methodologies and techniques that can be applied to a host of problem sets [6]. Many data mining techniques have been applied to stock data to achieve better financial solutions [1,4,7,8].…”

Section: Introductionmentioning

confidence: 99%

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A Human-Friendly MAS for Mining Stock Data

Zhang

2006

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

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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 techniques to the data on his own due to the complexity involved in the whole data mining process. In this paper, we present a multi-agent system that can help users easily deal with their data mining jobs on stock data. This system guides users to specify their mining tasks by simply specifying the data sets to be mined and selecting pre-defined and/or user-added data mining agents. This approach offers normal traders a practical and flexible solution to mining stock data.

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Section: Introductionmentioning

confidence: 99%

“…The MAS architectural diagram1 UAs can directly communicate with DSAs and DMAs once they are properly located, but such communications are not shown in the figure in order to keep the figure clear.…”

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confidence: 96%