Generalization of Family Operations on ZDDs

A family of sets is a collection where each element is a set, enabling the representation of many practical concepts. Various operations on families of sets are widely applied in fields such as databases and data mining. Since the size of set families in these applications often becomes exponentially large, we need sophisticated algorithms to manipulate them. Zero-suppressed decision diagrams (ZDDs) efficiently represent families of sets using directed acyclic graphs, supporting various operations known as family algebra. However, designing efficient algorithms for ZDDs demands expertise and is costly, underscoring the need for more accessible design methods.

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Publication Details

Journal
IEICE Transactions on Information and Systems
Published
2025-01-01
DOI
https://doi.org/10.1587/transinf.2025edp7062
Primary Topic
Formal Methods in Verification
Type
article
Field-Weighted Citation Impact
0.00

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article

Generalization of Family Operations on ZDDs

Shuhei Denzumi, Masaaki NISHINO, Norihito Yasuda
IEICE Transactions on Information and Systems
Formal Methods in Verification
article

Generalization of Family Operations on ZDDs

Shuhei Denzumi, Masaaki NISHINO, Norihito Yasuda
article en

Abstract

A family of sets is a collection where each element is a set, enabling the representation of many practical concepts. Various operations on families of sets are widely applied in fields such as databases and data mining. Since the size of set families in these applications often becomes exponentially large, we need sophisticated algorithms to manipulate them. Zero-suppressed decision diagrams (ZDDs) efficiently represent families of sets using directed acyclic graphs, supporting various operations known as family algebra. However, designing efficient algorithms for ZDDs demands expertise and is costly, underscoring the need for more accessible design methods.

IEICE Transactions on Information and Systems
Japan Society for the Promotion of Science
Openalex Percentile: Top 67%
Formal Methods in Verification
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