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Published in:   Vol. 5 Issue 1 Date of Publication:   June 2016

An Analysis of Pension Plans using Data Mining Technique


Page(s):   36-40 ISSN:   2278-2397
DOI:   10.20894/IJWT. Publisher:   Integrated Intelligent Research (IIR)

In this work, an attempt has been made to ascertain the level of awareness, opinion and knowledge that the middle aged respondents (25 to 55) have about basic saving options such as Gold, ULIP, Shares, R.D, P.P.F, Bonds, F.D, Chit Savings, Mutual Funds, Real Estate, Post office schemes, Life Insurance, and other schemes. It also included in this work, senior citizens respondents (> age 60), to gauge investments if any, exclusively meant for pension during their earning period and if so, how much they have benefitted, and their opinion about the importance of pension planning as well as the best pension plan. Sequential pattern mining methods, based on Sequential Search Algorithm (SSA), Exception Maximization Algorithm (EMA) and Probabilistic Aspect Mining Model (PAMM) has been used to analyze various data and identify patterns from those data to develop more efficient systems than those derived from any other method. Proposed website calculate the ratings for every investment choice, for making predictions, improve the usability of systems, detect events, and in general, assist in making strategic product decisions.