Predicting Nigeria Budget Allocation using Regression Analysis: a Data Mining Approach
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Date
2014
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International Journal of the Nigeria Computer Society
Abstract
Budget is used by the government as a guiding tool for planning and management of its resources to aid in effective decision making. Data mining is one of the most vital areas of research with the objective of finding meaningful information from large datasets. The delay in the preparation of budget of the federation by the Government has become an incessant issue in the running of affairs in the country. This is evident in the delay in the implementation of the previous budget in the country; hence, the need for automated system to tackle the setback. In this paper, regression analysis which is one of the data mining techniques is employed to predict budget allocation summary for the year 2008, 2009, 2010, 2011 and 2012 across40 data points containing ministries, departments, commissions, and Agencies (MDCAs) were used. A web-based data mining tool that employ linear regression to predict both Nigeria budget allocation across the 40 data points and the overall budget summary allocation of the Federation is proposed. The proposed data mining software predicted N1,803,196,024,657.40, N1,871,754,338,112.68 and N2,007,780,403,902.98 for the year 2013, 2014 and 2015 respectively. This tool is found capable of discovering interesting pattern in the data and for predicting budget allocation
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Keywords
Budget, Data Mining, Dataset, Linear Regression, Prediction