信息技术2024,Issue(5) :114-119.DOI:10.13274/j.cnki.hdzj.2024.05.018

基于决策树的就业创业资源信息分类系统设计

Design of employment and entrepreneurship resource information classification system based on de-cision tree

封彦
信息技术2024,Issue(5) :114-119.DOI:10.13274/j.cnki.hdzj.2024.05.018

基于决策树的就业创业资源信息分类系统设计

Design of employment and entrepreneurship resource information classification system based on de-cision tree

封彦1
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作者信息

  • 1. 西安工程大学,西安 710048
  • 折叠

摘要

针对就业创业资源信息分类数据收敛性差、分类准确率低的问题,设计了一种新的就业创业资源信息分类系统.系统硬件利用CAN总线控制器控制接口管理逻辑、时序逻辑和错误管理逻辑等同时工作.整合网络组织模式和P2P网络模式,与客户端建立连接,选用ADuC832混合信号单片微控制器采集就业创业资源信息,实现深入挖掘.确定信息节点增益,建立就业创业资源信息分类决策树,实现信息分类.实验结果表明,系统收敛性最终可达到99%以上,且就业创业资源信息分类准确率更高,具有较强的实际应用效果.

Abstract

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.

关键词

决策树/就业创业资源/信息分类/深入挖掘/信息增益

Key words

decision tree/employment and entrepreneurship resources/information classification/indepth mining/information gain

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基金项目

中国纺织工业联合会高等教育教学改革研究项目(2021BKJGLX001)

陕西省高教学会高等教育科研项目(XGH21145)

出版年

2024
信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
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