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Mining frequent intemsets in memory-resident databases

RePub (Erasmus University, Rotterdam)Published 5 December 2000Open access
Wim Pijls, Jan C. Bioch
Citations9
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TL;DR

A new algorithm, based upon depth-first search in a set-enumeration tree, is proposed, which turns out to be superior to breadth- first search for memory-resident databases.

Abstract

textabstractDue to the present-day memory sizes, a memory-resident database has become a practical option. Consequently, new methods designed to mining in such databases are desirable. \nIn the case of disk-resident databases, breadth-first search methods are commonly used. We propose a new algorithm, based upon depth-first search in a set-enumeration tree. For memory-resident databases, this method turns out to be superior to breadth-first search.

Keywords

Computer Science