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FIDEX: filtering spreadsheet data using examples

Xinyu Wang, Sumit Gulwani, Rishabh Singh

Abstract

Data filtering in spreadsheets is a common problem faced by millions of end-users. The task of data filtering requires a computational model that can separate intended positive and negative string instances. We present a system, FIDEX, that can efficiently learn desired data filtering expressions from a small set of positive and negative string examples.

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