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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 4, ISSUE 3, MARCH 2017

A STUDY ON CLASSIFICATION AND PREDICTION TECHNIQUES IN DATA MINING FOR FINANCIAL APPLICATIONS

B. Sharmila, Dr. R. Khanchana

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Abstract: Financial Forecast is an estimate of future financial outcomes for a company. A financial forecast is an economist's best guess of what will happen to a company in financial terms over a given time period. Data mining has made a significant role in the prediction techniques for financial applications. Technology such as data ware house and data mining has made a significant contribution for the prediction in the entire service sector of the organization .The Data mining techniques are used to extract hidden patterns, from large amount of financial data with the effective usage of sentiment features and opinion mining. The paper describes the effective usage of data mining predictive techniques for the financial applications.

Keywords: Data mining, Forecasting, Sentiment analysis, Feature selection, Opinion mining.

How to Cite:

[1] B. Sharmila, Dr. R. Khanchana, “A STUDY ON CLASSIFICATION AND PREDICTION TECHNIQUES IN DATA MINING FOR FINANCIAL APPLICATIONS,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2017.4308

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