Research data for Dynamic association rule modeling and mining method for product service system configuration

Published: 14 March 2023| Version 1 | DOI: 10.17632/kp848vbd5m.1
Contributor:
Wenqiang Li

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

Sichuan University

Categories

Data Mining, Product Service System, Association Analysis

Funders

  • Major Science and Technology Projects of Sichuan Province
    Grant ID: 2022ZDZX0001
  • Special City-University Strategic Cooperation Project of Sichuan University and Zigong Municipality
    Grant ID: 2021CDZG-3

Licence