Research data for Dynamic association rule modeling and mining method for product service system configuration
Description
This file contains the raw data and code from our research Dynamic association rule modelling and mining method for product service system configuration.
Files
Steps to reproduce
S1. Raw data is obtained from the company's sales records and pre-processed through data cleaning, statistical analysis and coding to obtain the data set to be analysed. S2. Dynamic association rules can be generated automatically by running main_Eclat_dynamic_association_rule.py with python3. S3. The association rules in the control experiment can be generated automatically by running the main_Eclat_traditional_association_rule program using python3.
Institutions
Categories
Funding
National Natural Science Foundation of China
52075350
Major Science and Technology Projects of Sichuan Province
2022ZDZX0001
Special City-University Strategic Cooperation Project of Sichuan University and Zigong Municipality
2021CDZG-3