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• W3032848711 abstract "In this paper, we study the problem of interactive cleaning for progressive visualization (ICPV): Given a bad visualization V , it is to obtain a cleaned visualization V whose distance is far from V , under a given (small) budget w.r.t. human cost. In ICPV, a system interacts with a user iteratively. During each iteration, it asks the user a data cleaning question such as how to clean detected errors x?, and takes value updates from the user to clean V . Conventional wisdom typically picks a single question (e.g., Are SIGMOD conference and SIGMOD the same?) with the maximum expected benefit in each iteration. We propose to use a composite question - i.e., a group of single questions to be treated as one question - in each iteration (for example, Are SIGMOD conference in t <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> and SIGMOD in t <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> the same value, and are t <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> and t <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> duplicates?). A composite question is presented to the user as a small connected graph through a novel GUI that the user can directly operate on. We propose algorithms to select the best composite question in each iteration. Experiments on real-world datasets verify that composite questions are more effective than asking single questions in isolation w.r.t. the human cost." @default.
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• W3032848711 date "2020-04-01" @default.
• W3032848711 modified "2023-09-25" @default.
• W3032848711 title "Interactive Cleaning for Progressive Visualization through Composite Questions" @default.
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• W3032848711 doi "https://doi.org/10.1109/icde48307.2020.00069" @default.
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