An Improved Apriori Algorithm Based On the Boolean Matrix and Hadoop-Reference-Cited by-同舟云学术

An Improved Apriori Algorithm Based On the Boolean Matrix and Hadoop

Published:2011 Issue: Volume:15 Page:1827-1831
ISSN:1877-7058
Container-title:Procedia Engineering
language:en
Short-container-title:Procedia Engineering

Author:

Yu Honglie,Wen Jun,Wang Hongmei,Jun Li

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference7 articles.

1. Data Mining: An Overview from Database Perspective;Chen;IEEE Yrans, on Knowledge and Data Eng,1996

2. Data warehouse and data mining tutorial [M];Chen Wenwei,2006

3. Mannila Heikki,Smyth Padhraic;Hand David,2002

4. Algorithms for association rule mining – a general survey and comparison;Hipp;ACM SIGKDD Explorations,2000

5. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proc. 1994 Int. Conf. Very Large Data Bases, pages 487-499, Santiago, Chile, September 1994.

Cited by 31 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. GMiner++: Boosting GPU-based frequent itemset mining by reducing redundant computations;Expert Systems with Applications;2024-09

2. Regression Method in Data Mining: A Systematic Literature Review;Archives of Computational Methods in Engineering;2024-03-27

3. Analysis of Customers Interest for Web Log Clustering;2024 IEEE Conference on Computer Applications (ICCA);2024-03-16

4. Application of Improved Apriori Algorithm in Computer Database Management System;Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering;2024-01-26

5. Incremental association rules update algorithm based on the sort compression matrix;Journal of Intelligent & Fuzzy Systems;2023-08-01