- Weitere Titel
-
Effizientes Clustering von großen Datenströmen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: Aachen : Apprimus-Verl., 2015
Aachen, Techn. Hochsch., Dissertation, 2015
- Erschienen in
-
Ergebnisse aus der Informatik ; 4
- Schlagwort
-
Big Data
Data Mining
Cluster-Analyse
Datenstrom
Hochdimensionale Daten
Unterraum
Dichtebasiertes Clusterverfahren
Sensorsystem
Energieeffizienz
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2015
- Urheber
- Beteiligte Personen und Organisationen
-
Seidl, Thomas
Gaber, Mohamed Medhat
Kowalewski, Stefan
- URN
-
urn:nbn:de:hbz:82-rwth-2015-027908
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Objekttyp
- Hochschulschrift
Beteiligte
- Hassani, Marwan
- Seidl, Thomas
- Gaber, Mohamed Medhat
- Kowalewski, Stefan
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2015
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