Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Stock Prediction Using Clustering And Regression Techniques

Author : Shalini Lotlikar 1 Megha Ainapurkar 2

Date of Publication :26th April 2017

Abstract: A stock market is the aggregation of buyers and sellers. A stock exchange is a place where, or an organization through which, individuals and organizations can trade stocks. In the financial market the decision on when buying or selling stocks is important in order to achieve profit. There are several techniques that can be used to help investors in order to make a decision for financial gain .The data set is taken from yahoo finance and preprocessing is performed on it. Clustering and regression are two techniques of data mining used here .For prediction of future stock price multiple regression technique is used which helps the buyers and sellers to choose their companies for stock.This paper has introduced the k means algorithm after which multiple regression is applied to predict the stock.

Reference :

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    2. Andrew Ng, Clustering with the K-Means Algorithm, Machine Learning, 2012
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    4. Hailong Chen ,Chunli Liu Research and Application of Cluster Analysis Algorithm,2013 2nd International Conference on Measurement,
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