Abstract:Stock market is a high risk investment influenced by many factors. Stock market prices prediction is not an easy task. With the aid of classification, a data mining technique predicting stock prices considering some factors of influence had been done. This paper put a light on the performance of ID3 and Naïve Bayes algorithms on a given Stock market data. ID3 and Naïve Bayes were classification algorithms which classifies the given data to be classified (test data) basing on the historical data (training data)… Show more
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