Artificially Intelligent Investment Risk Calculation system based on Distributed Data Mining
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract:- In the present days of e-commerce and social engineering the use of artificial intelligent system and data mining is one of the most relevant issue. Several investment sector giants use highly developed data mining procedure to serve the users in a better method. So, Risk factor calculation Algorithms are one of the most important topics in Data Science and Social Engineering.I have developed a web based system that will be fitted with huge amount of transaction data from the financial sectors of the current and the previous days. Now, according to the data from the database our system will be able to approximately guide the user whether he or she should go for that investment, and what is the risk factor about that particular investment. Moreover, I haveworked in another research project where we have tried to design an intelligent system that can be used to control the internal loan sanction process of a bank. In that system each of the employees will have a credibilityand a target according to the seniority of the employee. Based on those two factors the entire process will work and the profit or loss will also be dispersed and the accounts of them will be maintained.
Authors and Affiliations
Bhowmick Chandrima , Pal Arnab , TahAvranil
Keywords
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