Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/4917
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kempe, Steffen | - |
dc.date.accessioned | 2018-09-24T16:20:56Z | - |
dc.date.available | 2018-09-24T16:20:56Z | - |
dc.date.issued | 2008 | - |
dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/10959 | - |
dc.identifier.uri | http://dx.doi.org/10.25673/4917 | - |
dc.description.statementofresponsibility | von Steffen Kempe | - |
dc.format.extent | Online-Ressource (PDF-Datei: 179 S., 4842 KB) | - |
dc.language.iso | ger | - |
dc.publisher | Universitätsbibliothek | - |
dc.publisher | Otto von Guericke University Library, Magdeburg, Germany | - |
dc.subject | Data Mining | - |
dc.subject | Datenstrom | - |
dc.subject | Mustererkennung | - |
dc.subject.ddc | 006 | - |
dc.title | Häufige Muster in zeitbezogenen Daten | - |
dcterms.type | Hochschulschrift | - |
dc.type | PhDThesis | - |
dc.identifier.urn | urn:nbn:de:101:1-201012103727 | - |
local.publisher.universityOrInstitution | Otto-von-Guericke-Universität Magdeburg | - |
local.openaccess | true | - |
Appears in Collections: | Fakultät für Informatik |