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INTRODUCTION Fraud Detection has great importance to Financial Institutions. The The proposed research work is concerned with the problem of Fraud Detection in Stock Market Using Outlier Analysis. To find out fraud [62,64-65,86] in the Stock Market is very difficult task when it is being done using traditionally data analysis methods from the huge data. For example, suppose we have to study and analyze the whole trading data of a very old company that is being traded in the stock market For the last 35 years, then we have analyzed more than 8700 days trading data of that company and further if we compare the data of this company with 9-10 more companies of a similar group of companies for the same period then this will become a very difficult and also a very time the consuming job which also requires a lot of manpower.

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