Improvement in Hadoop performance using integrated feature extraction and machine learning algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-04453-x.pdf
Reference26 articles.
1. Adhikari BK, Zuo WL, Maharjan R, Guo L (2018) Sensitive data detection using NN and KNN from big data. In: International conference on algorithms and architectures for parallel processing. Springer, Cham, pp 628–642
2. Almasi M, Abadeh MS (2018) A new MapReduce associative classifier based on a new storage format for large-scale imbalanced data. Clust Comput 21(4):1821–1847
3. Ayma VA, Ferreira RS, Happ P, Oliveira D, Feitosa R, Costa G, Gamba P (2015) Classification algorithms for big data analysis, a Map Reduce approach. Int Arch Photogramm Remote Sens Spat Inf Sci 40(3):17–21
4. Bhardwaj P, Gupta A, Sharma M, Gupta M, Singhal S (2016) A survey on comparative analysis of big data tools. Int J Comput Sci Mob Comput 5(5):789–793
5. Doquire G, Verleysen M (2011) Feature selection with mutual information for uncertain data. In: International conference on data warehousing and knowledge discovery. Springer, Berlin, pp 330–341
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