期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：12
出版社：S&S Publications
摘要：Stock market plays a significant role and has greater influence on basic economic energies of a country.Rapid changes in the stock exchange market with high dimensional uncertain data make the investors to look foreffective forecasting using prediction mining techniques. The high dimensional stock data are classified intoprofitability, stability, cash flow and growth rate but does not deal completely with uncertain attribute values. On theother hand with large amount of uncertainty, the stock attributes and classes are not included simultaneously with theconditional probabilistic (i.e., Fuzzy set) distributional functions. Moreover, the test Possibilistic approaches (i.e.,predictive mining) is not carried out on genuine uncertain data. So, the research pay attention on solving the forecastingproblem with predictive data mining approach and helps the investors to select suitable portfolios. To forecast complexhigh dimensional uncertain data, Ant Possibilistic Fuzzy Clustered Forecasting (AP-FCF) method is proposed in thispaper. AP-FCF method avoids the repeating mistake on uncertain stock attributes and classes and provides domainknowledge to the investors according to the current feature salience.
