This paper presents our preliminary explorative data mining experiments on stock data. The experiments are performed using information gain evaluation, chi-square test and decision tree, which aim to explore the underlying patterns of the stock dataset. The explorative patterns obtained show some unexpected outliers in deriving the influential stocks with regard to Kuala Lumpur Composite Index. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Soon, L. K., & Lee, S. H. (2007). Explorative data mining on stock data -experimental results and findings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4632 LNAI, pp. 562–569). Springer Verlag. https://doi.org/10.1007/978-3-540-73871-8_53
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