Author:
Milhem Nathier,Abualigah Laith,Nadimi-Shahraki Mohammad H.,Jia Heming,Ezugwu Absalom E.,Hussien Abdelazim G.
Publisher
Springer International Publishing
Reference33 articles.
1. Altaf, M. A. B., Barapatre, H. K., & Sangvi, A. Mining condensed representations of frequent patterns on big data using max Apriori map reducing technique.
2. Apache Hadoop. http://hadoop.apache.org/
3. Kijsanayothin, P., Chalumporn, G., & Hewett, R. (2019). On using MapReduce to scale algorithms for big data analytics: A case study. J Big Data, 6, 105. https://doi.org/10.1186/s40537-019-0269-1
4. Singh, S., Garg, R., & Mishra, P. K. (2018). Performance optimization of MapReduce-based Apriori algorithm on Hadoop cluster. Computers and Electrical Engineering, 67, 348–364. ISSN 0045-7906.
5. Gharaibeh, M., Alzu’bi, D., Abdullah, M., Hmeidi, I., Al Nasar, M. R., Abualigah, L., & Gandomi, A. H. (2022). Radiology imaging scans for early diagnosis of kidney tumors: a review of data analytics-based machine learning and deep learning approaches. Big Data and Cognitive Computing, 6(1), 29.
Cited by
6 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