Next-Step Suggestions For Modern Interactive Data Analysis Platforms

Authors:
Amit Somech Tel Aviv University
Tova Milo Tel Aviv University

Introduction:

This paper studies Modern Interactive Data Analysis (IDA) platforms. the authors present REACT, a recommender system designed for modern IDA platforms.

Abstract:

Modern Interactive Data Analysis (IDA) platforms, such as Kibana, Splunk, and Tableau, are gradually replacing traditional OLAP/SQL tools, as they allow for easy-to-use data exploration, visualization, and mining, even for users lacking SQL and programming skills. Nevertheless, data analysis is still a di cult task, especially for non-expert users. To that end we present REACT, a recommender system designed for modern IDA platforms. In these platforms, analysis sessions interweave high-level actions of multiple types and operate over diverse datasets . REACT identifies and generalizes relevant (previous) sessions to generate personalized next-action suggestions to the user.

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