Presentation 2013-10-18
Three-way Indexing ZDDs for Large Scale Sparse Dataset
Hiroshi AOKI, Takahisa TODA, Shin-ichi MINATO,
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Abstract(in English) ZDDs are a data structure for combinations over item sets. They have been applied to many areas such as data mining. When ZDDs represent large-scale sparse datasets, they tend to have unbalanced form and fall into the deterioration of performance. In this paper, we propose a new data structure three-way indexing ZDD, which is a variant of ZDDs. We furthermore present conversion algorithms between three-way indexing ZDDs and usual ZDDs. Experimental results show the effectiveness of our data structure and algorithms.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ZDD / Ternary Search Tree / Membership Query
Paper # COMP2013-32
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Conference Information
Committee COMP
Conference Date 2013/10/11(1days)
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Registration To Theoretical Foundations of Computing (COMP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Three-way Indexing ZDDs for Large Scale Sparse Dataset
Sub Title (in English)
Keyword(1) ZDD
Keyword(2) Ternary Search Tree
Keyword(3) Membership Query
1st Author's Name Hiroshi AOKI
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Takahisa TODA
2nd Author's Affiliation ERATO MINATO Discrete Structure Manipulation System Project, Japan Science and Technology Agency
3rd Author's Name Shin-ichi MINATO
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University:ERATO MINATO Discrete Structure Manipulation System Project, Japan Science and Technology Agency
Date 2013-10-18
Paper # COMP2013-32
Volume (vol) vol.113
Number (no) 252
Page pp.pp.-
#Pages 8
Date of Issue