Title
DenseZDD: A Compact and Fast Index for Families of Sets
Abstract
In many real-life problems, we are often faced with manipulating families of sets. Manipulation of large-scale set families is one of the important fundamental techniques for web information retrieval, integration, and mining. For this purpose, a special type of binary decision diagrams (BDDs), called Zero-suppressed BDDs (ZDDs), is used. However, current techniques for storing ZDDs require a huge amount of memory and membership operations are slow. This paper introduces DenseZDD, a compressed index for static ZDDs. Our technique not only indexes set families compactly but also executes fast member membership operations. We also propose a hybrid method of DenseZDD and ordinary ZDDs to allow for dynamic indices.
Year
DOI
Venue
2014
10.1007/978-3-319-07959-2_16
SEA
Field
DocType
Volume
Boolean function,Data mining,Computer science,Binary decision diagram,Theoretical computer science,Web information
Conference
11
Issue
ISSN
Citations 
8
0302-9743
1
PageRank 
References 
Authors
0.36
9
6
Name
Order
Citations
PageRank
Shuhei Denzumi1133.01
Jun Kawahara2203.39
Koji Tsuda31664122.25
Hiroki Arimura4113092.90
Shin-ichi Minato572584.72
Kunihiko Sadakane61776128.47