期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2012
卷号：3
期号：6
页码：2018-2021
出版社：Technopark Publications
摘要：In this paper, we propose a practical method to predict the gender wise response on the volume of applications in government organization for recruitment process using Microsoft Decision Trees Algorithm which is a classification and regression algorithm provided by Microsoft SQL Server Analysis Services (SSAS) for use in predictive modeling of both discrete and continuous attributes. The Microsoft Decision Trees algorithm approach is used builds a data-mining model by creating a series of splits, also called nodes, in the tree. The algorithm adds a node to the model every time an input column is found to be significantly correlated with the predictable column. The sample calculation shows that the proposed method is highly reliable that provides practical approach and tools for the wide use of data mining to predict results based on input, or attempt to find relationships among data or cluster data in previously unrecognized yet similar groups. Earlier the predictions are available, better will be their utility for government i.e. provides valuable information with regard to procedure fixation, improve service delivery, reduce costs, redefine administrative processes etc.
