Abstract：Students' personal information, learning information, behavior track and other data which originally recorded in isolated
business application systems will be extracted, cleaned and transformed in the data center of smart campus. The "virtual image of the
main body" is realized through big data technology, which supports decision analysis and early warning research and judgment di-
rectly or indirectly. Based on the limited consumption related behavior data of students in school, this paper studies on how to reflect
the consumption level of students in time, predict the consumption trend, and guide them to open up sources and reduce expenditure.
Finally, a formula is designed for assessing risk when deal with the risk websites which committed by students themselves using big
data processing.
王臣昊 贾海天. 基于大数据的在校生消费行为引导和风险防范[J]. 电脑与电信, .
WANG Chen-hao JIAHai-tian. Consumption Behavior Guidance and Risk Prevention of College Students Based on Big Data. Computer & Telecommunication, 2020, 1(7): 51-.
