Fundamental Analysis Using Genetic Programming For Classification Rule Induction
نویسنده
چکیده
This paper details the application of a genetic programming framework for induction of useful classification rules from a database of income statements, balance sheets, and cash flow statements for North American public companies. Potentially interesting classification rules are discovered. Anomalies in the discovery process merit further investigation of the application of genetic programming to the dataset for the problem domain.
منابع مشابه
ارائهروش جدید مبتنیبر برنامهنویسی ژنتیک برای وزندهی قوانین فازی در طبقهبندی نامتوازن
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