Algorithms 2012, 5(4), 654-667; doi:10.3390/a5040654
Article

Extracting Co-Occurrence Relations from ZDDs

ERATO, MINATO Discrete Structure Manipulation System Project, JST, Sapporo-Shi 060-0814, Japan
Received: 27 September 2012; in revised form: 4 December 2012 / Accepted: 6 December 2012 / Published: 13 December 2012
(This article belongs to the Special Issue Graph Algorithms)
PDF Full-text Download PDF Full-Text [154 KB, uploaded 13 December 2012 11:44 CET]
Abstract: 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.
Keywords: BDD; ZDD; partition; co-occurrence; data mining

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Toda, T. Extracting Co-Occurrence Relations from ZDDs. Algorithms 2012, 5, 654-667.

AMA Style

Toda T. Extracting Co-Occurrence Relations from ZDDs. Algorithms. 2012; 5(4):654-667.

Chicago/Turabian Style

Toda, Takahisa. 2012. "Extracting Co-Occurrence Relations from ZDDs." Algorithms 5, no. 4: 654-667.

Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert