Abstract:
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.
