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SCHOLARLY TALKS

Commodifying Data Exploration

Dept. of Computer Science (April 3, 2023)
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SEMINAR SERIES : Distinguished Lecture Series

MAJOR SPEAKER : Amer-Yahia, Sihem
LENGTH : 55 min.
ACCESS : Open to all
SUMMARY : Exploratory Data Analysis (EDA) is an iterative and often tedious process. Several strategies have been proposed to ease the burden on users in EDA ranging from stepwise to full-guidance approaches. Stepwise approaches rely on computing utility functions that determine the best action to take at each step. Full-guidance approaches rely on learning end-to-end exploration policies. Today’s big question is how to commodify EDA and make it easily deployable for all but for that we need to know what users are looking for: are they looking for a needle in a haystack, taking a tour of the data, or are they feeling lucky? This talk will investigate those questions and discuss the challenges of storing learned pathways through data or regenerating them when needed.  [Go to the full record in the library's catalogue]



  ●  Persistent link: https://hkbutube.lib.hkbu.edu.hk/st/display.php?bibno=st1092
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