Identifying University Students In Poverty System Optimization Using The Campus Card Data

In the rapid development of science and technology, more and more dataappear in front of us, such a huge amount of data, we should be how to getthe key information or useful information for us to become a focus ofcurrent research, including data miningin a massive database found that ourpeople do not know in advance, and useful knowledge of the process, itappeared later in the AI a new discipline, widely used in various fieldsbecause of the computer, the data miningthe technology has also putforward higher requirements.Data mining can be used in the identification of problems of the poorstudents of the university on the poor college students has been a concern todeal with good and poor student learning and life issues for to maintainstability universities Promoting college education reforms have a veryimportant sense, educational foundation is also building a harmonioussociety is also an important issue, and the comprehensive development ofthe individual for poor students.In this paper, data on the poor students of the college database platformfor data analysis, data mining depth, depth discussion of the conditions ofpoor hygiene assessment study several algorithms of association rules, andits improvement Finally, will improve future association rules algorithmapplied to a specific evaluation process which poor students.