Research On Data Mining Based On Campus Card System

With the continuous development of modern information technology,we have gradually moved towards the digitalized,networked,information-based society.Since the beginning of the 1990s,campus card has gradually become an important part and the foundation of the digital campus.It covering the scope of its use on campus learning as well as all aspects of life.It is because of a combination of database data mining technology,machine learning,statistical fields,artificial intelligence,pattern recognition,knowledge,This becomes a realistic subject if we learn and study these methods,and learn how to find information from those vast amounts and overdue data that helps the school's management to make a decision,It also makes the data mining technology to become a new way to explore the campus information.As the authors engaged in work related to information technology campus in university,it is possible for paper-related data query,finishing.In this paper,the basic theory of data mining is described,the typical data mining algorithm is outlined,focusing on the K_means algorithm,On college campus card attendance device,transfer device,and sign in place,transfer amount,transfer accounts data through clustering sorting,combining relevant data of campus smart card system network management platform,and the academic system of student's achievements.According to the school year performance statistics,students access to library,Internet,smart card system network payment,compared students access to the Internet and library access,network payment and other relations,thus obtains the required data mining results.Effective use of relevant data campus card system,can be found by studying the habits of some of the current students as well as consumption habits,for example,access to relationship between time spent in the library and time spent using internet time at the residence.The relationship between online payment and time spent online;the relationship between student academic achievement and time spent online at dormitory.The thesis while poor students to study for part of the drill digging behavior,and making such students'learning and life corresponding warning.