Open AccessApplication of Data Mining in Recommending Mode of Agricultural Products Market System
Author(s) -
Chunqiong Wu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/6/062010
Subject(s) - data mining , computer science , workflow , data pre processing , process (computing) , data stream mining , data flow diagram , decision tree , database , systems architecture , architecture , operating system , art , visual arts
The agricultural product trading system is a system that involves multiple links and multi-agency network-based work management methods. The article describes the overall design, system architecture, network architecture and related modules of the system through flow charts and structure diagrams. The design is implemented, and the database diagrams and attribute fields of related modules are given. The application process of data mining algorithm in the system is studied. Firstly, the data mining workflow is analyzed. Then the data collected by the system is studied. The data preprocessing process is studied, which makes the data set suitable for data mining. According to the characteristics of the data, the decision tree method is used to perform data mining. The data has been preprocessed. Based on the analysis of data and build a decision tree.