UCRP-miner: Mining Patterns that Matter
Author:
Affiliation:
1. Otto von Guericke University,Faculty of Computer Science,Magdeburg,Germany
2. German Centre for Higher Education,Research and Science Studies,Hannover,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9943793/9943812/09943880.pdf?arnumber=9943880
Reference17 articles.
1. Weighted Based Frequent and Infrequent Pattern Mining Model for Real-time E-Commerce Databases
2. Frequent pattern mining under multiple support thresholds;darrab;Methods,2016
3. Vertical Pattern Mining Algorithm for Multiple Support Thresholds
4. Clustering association rules
5. Classification of association rules based on K-means algorithm
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1. Exploring the predictive factors of heart disease using rare association rule mining;Scientific Reports;2024-08-06
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