Frequent itemset mining of distributed uncertain data under user-defined constraints

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dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorLeung, Carson K.
dc.date.accessioned2017-02-13T16:06:30Z
dc.date.available2017-02-13T16:06:30Z
dc.date.issued2012
dc.descriptionCuzzocrea, A., Leung, C.K.: Frequent itemset mining of distributed uncertain data under user-defined constraints. In: SEBD 2012, pp. 243-250. Copyright (c) 2012 - Edizioni Libreria Progetto and the authorsen_US
dc.description.abstractMany existing distributed data mining algorithms do not allow users to express the patterns to be mined according to their intention via the use of constraints. Consequently, these unconstrained mining algorithms can yield numerous patterns that are not interesting to users. Moreover, due to inherited measurement inaccuracies and/or network latencies, data are often riddled with uncertainty. These call for constrained mining and uncertain data mining. In this paper, we propose a tree-based system for mining frequent itemsets that satisfy user-defined constraints from a distributed environment such as a wireless sensor network of uncertain data.en_US
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canada (NSERC); University of Manitobaen_US
dc.identifier.citationCuzzocrea, A., Leung, C.K.: Frequent itemset mining of distributed uncertain data under user-defined constraints. In: SEBD 2012, pp. 243-250.en_US
dc.identifier.isbn978-88-96477-23-6
dc.identifier.otherhttp://sebd2012.dei.unipd.it/documents/188475/f929f5b9-f44a-491e-8895-f0e7f2bff899
dc.identifier.urihttp://hdl.handle.net/1993/32128
dc.language.isoengen_US
dc.publisherEdizioni Libreria Progettoen_US
dc.rightsopen accessen_US
dc.subjectdata miningen_US
dc.subjectknowledge discoveryen_US
dc.subjectconstraintsen_US
dc.subjectdistributed dataen_US
dc.subjectfrequent itemsetsen_US
dc.subjectuncertain dataen_US
dc.titleFrequent itemset mining of distributed uncertain data under user-defined constraintsen_US
dc.typeArticleen_US
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