Compressed Bitmaps Based Frequent Itemsets Mining on Hadoop

Author:

Saeed Aref A.1,Rauf Azhar1,Khusro Shah1,Mahfooz Saeed1

Affiliation:

1. Department of Computer Science, University of Peshawar, Peshawar, Pakistan

Publisher

ACM Press

Reference54 articles.

1. Apache Giraph. https://giraph.apache.org/

2. Apache Storm. https://storm.apache.org/

3. Apache Tez. https://tez.apache.org/

4. Apache Hadoop. http://hadoop.apache.org

5. IBM Synthetic Data Generator. http://www.philippe-fournier-viger.com/spmf/datasets/IBM_Quest_data_generator.zip

Cited by 2 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. Apriori-Roaring-Parallel: Frequent pattern mining based on compressed bitmaps with OpenMP;2021 IEEE Symposium on Computers and Communications (ISCC);2021-09-05

2. A Survey of Correlated High Utility Pattern Mining;IEEE Access;2021

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