Exploring and cleaning big data with random sample data blocks

Exploring and cleaning big data with random sample data blocks

Abstract Data scientists need scalable methods to explore and clean big data before applying advanced data analysis and mining algorithms. In this paper, we propose the RSP-Explore method to enable data scientists to iteratively explore big data on small computing clusters. We address three main tas...

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Bibliographic Details
Main Authors: Salman Salloum, Joshua Zhexue Huang, Yulin He
Format: Article
Language:English
Published: SpringerOpen 2019-06-01
Series:Journal of Big Data
Subjects:
Big data
Exploratory data analysis
Statistical estimation
Data cleaning
Block-level sampling
Random sample partition
Online Access:http://link.springer.com/article/10.1186/s40537-019-0205-4

Internet

http://link.springer.com/article/10.1186/s40537-019-0205-4

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