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Research on the Application of Data Mining Technology in Campus Card System

机译:数据挖掘技术在校园卡系统中的应用研究

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Campus card system in generated a lot of data during it's operation, and the system itself cannot analyze these data. How it can be learned from these massive, outdated data for student management to assist decision-making becomes a very realistic subject. This paper takes the transaction data of campus card as the research object, and uses the comprehensive application of data warehouse, online analysis and processing, data mining and so on to excavate useful information hidden in campus card transaction. This paper first introduces the data warehouse, data mining technology, then it analyzes the consumption behavior of the student canteen, and then builds the data warehouse model according to the analysis of the theme, sets the dimension, selects the granularity, from the card business system we extract the appropriate data for cleaning, conversion and loading into the data warehouse, finally, through the data mining technology we analyze the data to find the rules for the school decision-makers and provide the decision support for the relevant management departments.
机译:校园卡系统在运行过程中产生了大量数据,系统本身无法分析这些数据。如何从这些过时的海量数据中学习如何帮助学生管理决策,这已成为一个非常现实的主题。本文以校园卡交易数据为研究对象,结合数据仓库,在线分析处理,数据挖掘等综合应用,挖掘校园卡交易中隐藏的有用信息。本文首先介绍了数据仓库,数据挖掘技术,然后分析了学生食堂的消费行为,然后根据主题分析建立了数据仓库模型,设置了维度,选择了粒度,从卡业务系统将提取适当的数据进行清洗,转换和加载到数据仓库中,最后,通过数据挖掘技术对数据进行分析,为学校决策者找到规则,并为相关管理部门提供决策支持。

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