期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：1
页码：19-27
出版社：Technopark Publications
摘要：One of the most important problems in modern finance is finding efficient ways to summarize and visualize the stock market data to give individuals or institutions useful information about the market behavior for investment decisions. Therefore, Investment can be considered as a one of the fundamental pillars of national economy. The single and most important reason is to earn returns on investment. At the present time, many investors look to find a criterion for comparison stock together and selecting the best. The investors try in choosing the type of strategy, to choose strategies that maximize the earning value of the investment process.The enormous amount of valuable data generated by the stock market has attracted researchers to explore this problem domain using different methodologies. Potential significant benefits of solving these problems motivated extensive research for years. Data mining is used for mining data from databases and finding out meaningful patterns from the database. Many organizations are now using these data mining techniques. So the research in data mining has gained a high attraction due to the importance of its applications and the increasing information.
关键词：Stock market; data mining; decision tree; neural network; clustering; association rules; factor analysis; time series.
