An Efficient Model for Share Market Prediction Using Data Mining Techniques

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Provided by: Research In Motion
Topic: Big Data
Format: PDF
Share market acts as one of the key role for building economy of any developing nation. It is highly complex to determine booms and crashes in the market, so it became one of the interesting and challenging topics for all the business researchers to predict an accurate share value. In this paper, the authors propose an algorithm based on Support Vector Machine (SVM) and k-Nearest Neighbor (k-NN) algorithms to predict next day's closing price share value of a company.
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