Application of an Improved Sequence Pattern Association Rule Algorithm-based Data Management System for Continuing Education Teaching Data in Universities

• Published in: Applied mathematics and nonlinear sciences Vol. 10; no. 1
• Main Authors: Peng, Hua, Yi, Chun
• Format: Journal Article
• Language: English
• Published: Beirut Sciendo 01.01.2025; De Gruyter Poland
• Subjects: 97B90; algorithms; association rules; further education data; sequential pattern mining

A study proposes a university continuing education teaching data management system using an improved sequential pattern association rule algorithm. By introducing utility and interestingness parameters alongside support and confidence, the algorithm identifies efficient, engaging items. Experiments...