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

Monthly Journal for Science , Computer Science and Engineering

Volume4,April 2017,

Topic : Stock Prediction Using Clustering And Regression Techniques

Authors:Shalini Lotlikar || Megha Ainapurkar

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..

Keywords: Data Mining, k-means, multiple regression, rule of thumb, centroid, clustering

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DOI: 01.1617/vol4/iss4/pid39708


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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