Publisher's Synopsis
Fraud Detection has great importance to Financial Institutions. The
proposed research work is concerned with the problem of Fraud
Detection in Stock Market Using Outlier Analysis.
To find out about fraud [62,64-65,86] in the Stock Market is very difficult
task when it is being done using traditional 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
from the last 35 years, then we have to analyze 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 similar groups 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.
