An influence assessment method based on co-occurrence for topologically reduced big data sets

Hdl Handle:
http://hdl.handle.net/10545/344814
Title:
An influence assessment method based on co-occurrence for topologically reduced big data sets
Authors:
Trovati, Marcello ( 0000-0001-6607-422X ) ; Bessis, Nik ( 0000-0002-6013-3935 )
Affiliation:
University of Derby
Citation:
Trovati, M. & Bessis, N. (2016) 'An influence assessment method based on co-occurrence for topologically reduced big data sets', Soft Computing, 20: 2021. doi:10.1007/s00500-015-1621-9
Journal:
Soft Computing
Issue Date:
2015
URI:
http://hdl.handle.net/10545/344814
DOI:
10.1007/s00500-015-1621-9
Type:
Article
Language:
en
Appears in Collections:
Computational, Discrete and Applied Mathematics Group

Full metadata record

DC FieldValue Language
dc.contributor.authorTrovati, Marcelloen
dc.contributor.authorBessis, Niken
dc.date.accessioned2015-02-23T14:46:16Z-
dc.date.available2015-02-23T14:46:16Z-
dc.date.issued2015-
dc.identifier.citationTrovati, M. & Bessis, N. (2016) 'An influence assessment method based on co-occurrence for topologically reduced big data sets', Soft Computing, 20: 2021. doi:10.1007/s00500-015-1621-9en
dc.identifier.doi10.1007/s00500-015-1621-9en
dc.identifier.urihttp://hdl.handle.net/10545/344814-
dc.language.isoenen
dc.subjectKnowledge discoveryen
dc.subjectLarge-scale networksen
dc.subjectInformation extractionen
dc.subjectData analyticsen
dc.titleAn influence assessment method based on co-occurrence for topologically reduced big data setsen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalSoft Computingen
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