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Extracting Co-Occurrence Relations from ZDDs

Author(s): Takahisa Toda

Journal: Algorithms
ISSN 1999-4893

Volume: 5;
Issue: 4;
Start page: 654;
Date: 2012;
Original page

Keywords: BDD | ZDD | partition | co-occurrence | data mining

A zero-suppressed binary decision diagram (ZDD) is a graph representation suitable for handling sparse set families. Given a ZDD representing a set family, we present an efficient algorithm to discover a hidden structure, called a co-occurrence relation, on the ground set. This computation can be done in time complexity that is related not to the number of sets, but to some feature values of the ZDD. We furthermore introduce a conditional co-occurrence relation and present an extraction algorithm, which enables us to discover further structural information.
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