Efficient mining of high utility itemsets with multiple minimum utility thresholds-Reference-Cited by-同舟云学术

Efficient mining of high utility itemsets with multiple minimum utility thresholds

Published:2018-03 Issue: Volume:69 Page:112-126
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Krishnamoorthy Srikumar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference43 articles.

1. Agrawal, R., Srikant, R., 1994a. Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Databases, VLDB, pp. 487–499.

2. Agrawal, R., Srikant, R., 1994b. Quest synthetic data generator, IBM. http://www.cs.loyola.edu/~cgiannel/assoc_gen.html.

3. Efficient tree structures for high utility pattern mining in incremental databases;Ahmed;IEEE Trans. Knowl. Data Eng.,2009

4. HUC-Prune: an efficient candidate pruning technique to mine high utility patterns;Ahmed;Appl. Intell.,2011

5. Aggregation of orders in distribution centers using data mining;Chen;Expert Syst. Appl.,2005

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient strategy for mining high-efficiency itemsets in quantitative databases;Knowledge-Based Systems;2024-09

2. Improved adaptive-phase fuzzy high utility pattern mining algorithm based on tree-list structure for intelligent decision systems;Scientific Reports;2024-01-10

3. New approaches for mining high utility itemsets with multiple utility thresholds;Applied Intelligence;2023-12-19

4. A Clique-Querying Mining Framework for Discovering High Utility Co-Location Patterns without Generating Candidates;ACM Transactions on Knowledge Discovery from Data;2023-10-16

5. High utility itemsets mining from transactional databases: a survey;Applied Intelligence;2023-09-16