An Application of Datalogic / R Knowledge Discovery Tool to Identify Strong Predictive Rules in Stock Market Data

Abstract

An application of a methodology for discovering strong probabilistic rules in data is presented. The methodology is based on an extended model of rough sets called variable precision rough sets model incorporated in DATALOGIC/R knowledge discovery tool from Reduct Systems Inc. It has been applied to analyze monthly stock market data collected over a ten… (More)

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