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A Random Walk Approach To Sampling Hidden Databases

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A Random Walk Approach To Sampling Hidden Databases

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Title: A Random Walk Approach To Sampling Hidden Databases
Author: Dasgupta, Arjun
Abstract: A large part of the data on the World Wide Web is hidden behind form-like interfaces. These interfaces interact with a hidden back-end database to provide answers to user queries. Generating a uniform random sample of this hidden database by using only the publicly available interface gives us access to the underlying data distribution. In this thesis, we propose a random walk scheme over the query space provided by the interface to sample such databases. We discuss variants where the query space is visualized as a fixed and random ordering of attributes. We also propose techniques to further improve the sample quality by using a probabilistic rejection based approach and conduct extensive experiments to illustrate the accuracy and efficiency of our techniques.
URI: http://hdl.handle.net/10106/96
Date: 2007-08-23
External Link: https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=178

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