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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 How it can be learned from these massive, outdated data for student management to assist decision-making becomes a very realistic subject.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:校园一卡通系统在它的运行过程中产生大量的数据,而且系统本身不能分析这些数据。如何从这些海量的,过时的数据获知的学生管理,以帮助决策成为一个很现实的问题。本文以校园卡为研究对象的交易数据,并使用等方面隐藏在校园卡交易开挖的有用信息的数据仓库,联机分析处理,数据挖掘和综合应用。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,然后建立数据仓库模型根据主题的分析,设置了尺寸,选择粒度,从卡业务系统中,我们提取的清洗,转换和加载到数据仓库中的相应数据,最后,通过数据挖掘技术,我们分析数据,以找出学校决策者的规则,并为相关管理部门提供决策支持。

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