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Sas global forum 2010 data mining and predictive modeling paper 124-2010 using sas ® enterprise miner 5.3 ® to examine the factor such as poverty level.
| Content Provider | CiteSeerX |
|---|---|
| Author | Cerrito, Khurram J. Tanwir Patricia |
| Abstract | The U.S. Congress appropriates revenues for elementary and secondary education in the federal government’s annual budget in the form of an appropriation. Title I is part of the federal Elementary and Secondary Education Act and provides money meant to improve the academic performance of students whose families are living below the poverty level, students who are learning English as a second language, students who are not meeting state education standards sanctioned by the federal government, and whether a program school district has two percent or fewer poor children, etc. The data set is collected from the Census Bureau, which includes data from 13,753 school districts in 50 states showing the number of children living in poverty in each school district. Text Miner software in SAS 9.1 ® is used to investigate the information related to the school districts. The association of different states with regards to the poverty level to each state’s school districts was found. This paper shows that by using the Regression node within SAS, correlations can be made between different variables that can predict the most important variables. |
| File Format | |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
