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A comprehensive review of tools for exploratory analysis of tabular industrial datasets

Visual Informatics 2018年第4期2卷 235-253页

作者： Aindrila Ghosh Mona Nashaat James Miller shaikh quader Chad Marston Department of Electrical and Computer Engineering University of Alberta116 Street NWEdmontonT6G 1H9Canada Machine Learning Research IBM CanadaTorontoCanada Information Technology and Analytics IBM U.S.BostonUnited States

Exploratory data analysis plays a major role in obtaining insights from *** the last two decades,researchers have proposed several visual data exploration tools that can assist with each step of the analysis ***,in recent years,data analysis requirements have changed *** constantly increasing size and types of data to be analyzed,scalability and analysis duration are now among the primary concerns of ***,in order to minimize the analysis cost,businesses are in need of data analysis tools that can be used with limited analytical *** address these challenges,traditional data exploration tools have evolved within the last few *** this paper,with an in-depth analysis of an industrial tabular dataset,we identify a set of additional exploratory requirements for large ***,we present a comprehensive survey of the recent advancements in the emerging field of exploratory data *** investigate 50 academic and non-academic visual data exploration tools with respect to their utility in the six fundamental steps of the exploratory data analysis *** also examine the extent to which these modern data exploration tools fulfill the additional requirements for analyzing large ***,we identify and present a set of research opportunities in the field of visual exploratory data analysis.

关键词： Exploratory data analysis Industrial tabular data Interactive visualization Systematic literature review Research opportunities

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