Visualization and Manipulation of Incomplete and Uncertain Dependencies by Decision Diagrams

dc.creatorPopel,Denis
dc.date2005
dc.date.accessioned2024-02-06T12:54:01Z
dc.date.available2024-02-06T12:54:01Z
dc.descriptionThe data mining community is focused on a variety of methods and algorithms to manipulate incompletely specified or uncertain data and their dependencies. The major obstacle in the representation and visualization of incompletely specified data is the size explosion problem through defining undefined or uncertain values, which commonly raises questions about suggested heuristics and their practical applicability. Recently, there is a renewed interest in resolving the size explosion problem for incompletely specified and uncertain data based on symbolic techniques. One of such techniques, decision diagram, has been successfully applied to many knowledge visualization and data manipulation problems.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-011-11-1849
dc.identifierhttps://lib.jucs.org/article/28509/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/8881
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 11(11): 1849-1862
dc.subjectdata mining
dc.subjectdecision diagrams
dc.subjectincompletely specified functions
dc.subjectminimization
dc.titleVisualization and Manipulation of Incomplete and Uncertain Dependencies by Decision Diagrams
dc.typeResearch Article
Файлы