Data Analysis on Technical and Non Technical Education using Regression Technique

Abstract: Data Mining is the investigation step of the knowledge Discovery in Database process, a relatively young and interdisciplinary field of computer science is the process of extracting pattern from large data sets by combining methods from statistics from artificial intelligence with database management. Data mining uses a combination of an explicit knowledge base, primitive analytical skills, and domain knowledge to uncover unidentified trends and patterns. These trend and patterns form the basis of a analytical models that make possible analysts to produce new justification from existing data. Data mining is a process of analyzing data from different perspectives and summarizing it into useful information- information that can be used to increase revenue, cuts costs or both. Technically, data mining is the process of finding correlations among dozens of fields in large relational database. This paper provides the comparison between technical and non technical education in terms of methods of teaching skills ,students skills, social and family pressure, area of interest they choose and in decision about whether they should go to technical or non technical colleges by using regression technique.

Keywords: Data mining, MIS, Statistical tests, Regression technique.