Towards Autonomous, Hands-Free Data Exploration

Ori Bar El, Tova Milo, Amit Somech

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

Exploratory Data Analysis (EDA) is an important yet difficult task, currently performed by expert users, as it requires deep understanding of the data domain as well as profound analytical skills. In this work we make the case for the Hands-Free EDA (HFE) paradigm, in which the exploratory process is automatically conducted, requiring little or no human input - as in watching a “video” presenting selected highlights of the dataset. To that end, we suggest an end-to-end visionary system architecture, coupled with a prototype implementation. Our preliminary experimental results demonstrate that HFE is achievable, and leads the way for improvement and optimization research.

Original languageEnglish
StatePublished - 2020
Externally publishedYes
Event10th Annual Conference on Innovative Data Systems Research, CIDR 2020 - Amsterdam, Netherlands
Duration: 12 Jan 202015 Jan 2020

Conference

Conference10th Annual Conference on Innovative Data Systems Research, CIDR 2020
Country/TerritoryNetherlands
CityAmsterdam
Period12/01/2015/01/20

Bibliographical note

Publisher Copyright:
© 10th Annual Conference on Innovative Data Systems Research, CIDR 2020.

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