Abstract
Government has made efforts to improve the level of social life as an object of national development either by providing direct cash assistance or a program to create jobs. Fund distributed to the society is not small, so the distribution must be done properly. The data mining is a method of extracting data to find the hidden patterns of the data. In this research, the data are processed by using K-Means and C4.5 algorithm. The aim of this research is to classify the society into three clusters based on economic conditions using the K-means algorithm, the three clusters are pre-prosperous families, pre-prosperous families 1 and pre-prosperous families 2. Moreover, the C4.5 algorithm is used to make a decision tree model in determining which priority family gets assistance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
