Design of employment and entrepreneurship resource information classification system based on de-cision tree
To solve the problems of poor convergence and low classification accuracy of employment and en-trepreneurship resource information classification data,a new employment and entrepreneurship resource in-formation classification system is designed.The system hardware utilizes the CAN bus controller to control the interface management logic,sequential logic and error management logic to work simultaneously.The network organization mode and the P2P network mode are integrated to establish a connection with the cli-ent,and the ADuC832 mixed-signal single-chip microcontroller is selected to collect employment and entre-preneurship resource information to achieve in-depth mining.Finally,the gain of information nodes are de-termined to establish a decision tree for information classification of employment and entrepreneurship re-sources,and realize information classification.The experiment results show that the convergence of the sys-tem can finally reach more than 99％,and the classification accuracy of employment and entrepreneurship resources information is better,which has a strong practical application effect.
decision treeemployment and entrepreneurship resourcesinformation classificationindepth mininginformation gain
万方数据
维普
