Publisher's Synopsis
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.
