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Abstract: There is a large and growing mismatch between the size of the relational data sets available for mining and the amount of data our relational learning systems can process. In particular, most relational learning systems can operate on data sets containing thousands to tens of thousands of objects, while many real-world data sets grow at a rate of millions of objects a day. In this paper we explore the challenges that prevent relational learning systems from operating on massive data... (Update)
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BibTeX entry: (Update)
@misc{ hulten-mining,
author = "Geoff Hulten and Pedro Domingos and Yeuhi Abe",
title = "Mining Massive Relational Databases",
url = "citeseer.ist.psu.edu/592179.html" }
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