Discovery of the D-basis in binary tables based on hypergraph dualization

dc.contributor.authorAdaricheva, Kira
dc.contributor.authorNation, J.B.
dc.date.accessioned2016-02-09T09:59:06Z
dc.date.available2016-02-09T09:59:06Z
dc.date.issued2016
dc.description.abstractDiscovery of (strong) association rules, or implications, is an important task in data management, and it nds application in arti cial intelligence, data mining and the semantic web. We introduce a novel approach for the discovery of a speci c set of implications, called the D-basis, that provides a representation for a reduced binary table, based on the structure of its Galois lattice. At the core of the method are the D-relation de ned in the lattice theory framework, and the hypergraph dualization algorithm that allows us to e ectively produce the set of transversals for a given Sperner hypergraph. The latter algorithm, rst developed by specialists from Rutgers Center for Operations Research, has already found numerous applications in solving optimization problems in data base theory, arti cial intelligence and game theory. One application of the method is for analysis of gene expression data related to a particular phenotypic variable, and some initial testing is done for the data provided by the University of Hawaii Cancer Centerru_RU
dc.identifier.citationAdaricheva Kira, Nation J. B.; 2016; Discovery of the D-basis in binary tables based on hypergraph dualization; arXiv.orgru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/1216
dc.language.isoenru_RU
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectResearch Subject Categories::MATHEMATICSru_RU
dc.subjecthypergraph dualizationru_RU
dc.titleDiscovery of the D-basis in binary tables based on hypergraph dualizationru_RU
dc.typeArticleru_RU

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
1504.02875.pdf
Size:
347.31 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
6.22 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections