G. Singh. (2013)By comparing historical data of trading like daily Open, High, Low, Close, Volume, Number of Trades, Turnover, Delivery percentage etc. of a particular stock with its Peer Group companies and Non Peer Group companies stocks for a particular period, we can find some unusual observations which are also known as outliers. In this paper we have tried to detect the observations, which are very different from the other observations using a Data Mining Technique for Outlier Detection-“Multiple Linear Regression Analysis”..
Lesezeichen und Publikationen, die kürzlich rezensiert oder kommentiert wurden. Besuchen Sie unsere Hilfeseiten zu Diskussionen um mehr über Rezensionen und Kommentare zu erfahren.