[Purpose/significance] Facing the trend of fragmentation of university information, this paper puts forward the integration process of fragmented university information, and applies the random forest algorithm to construct the feature selection model of information-fragmented integration in universities.[Method/process] This paper represents the development, research status and existing problems of university information integration. Furthermore, in this paper, we elaborate the principles and advantages of the random forest algorithm, and use it to the feature selection model of information fragmented integration process in universities. Finally, we validate the model by using the example of identifying the students in the need of financial help.[Result/conclusion] Random forest algorithm shows higher accuracy and validity in the selection of features for integrating university information and therefore provides a new way for the integration of fragmented university information.
Zhang Wende
,
Cheng Han
,
Liu Tian
,
Zeng Jinjing
. Application of Random Forest in the Fragmented Integration of University Information[J]. Library and Information Service, 2018
, 62(7)
: 119
-124
.
DOI: 10.13266/j.issn.0252-3116.2018.07.014
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