- Weitere Titel
-
Profiling von temporalen Daten
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Potsdam, Universität Potsdam, Dissertation, 2024
- Klassifikation
-
Erziehung, Schul- und Bildungswesen
- Schlagwort
-
Data Mining
Zeitliches Datenbanksystem
- Ereignis
-
Veröffentlichung
- (wo)
-
Potsdam
- (wer)
-
Universität Potsdam
- (wann)
-
2024
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.25932/publishup-66072
- URN
-
urn:nbn:de:kobv:517-opus4-660727
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:21 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Bornemann-Paulus, Leon
- Naumann, Felix
- Klettke, Meike
- Weidlich, Matthias
- Universität Potsdam
Entstanden
- 2024
Ähnliche Objekte (12)
Data profiling - efficient discovery of dependencies
Scalable data profiling : distributed discovery and analysis of structural metadata
Self-adaptive data quality : automating duplicate detection
Single-column data profiling
Understanding cryptic schemata in large extract-transform-load systems
From unstructured to structured: Context-based named entity mining from text
Advancing the discovery of unique column combinations
Efficient and exact computation of inclusion dependencies for data integration
Quality-driven Query answering for Integrated Information Systems
Informationsintegration
Quality driven query answering for integrated information systems
Improving RDF data with data mining
Data profiling - efficient discovery of dependencies
Scalable data profiling : distributed discovery and analysis of structural metadata
Self-adaptive data quality : automating duplicate detection
Single-column data profiling
Understanding cryptic schemata in large extract-transform-load systems
From unstructured to structured: Context-based named entity mining from text
Advancing the discovery of unique column combinations
Efficient and exact computation of inclusion dependencies for data integration
Quality-driven Query answering for Integrated Information Systems
Informationsintegration
Quality driven query answering for integrated information systems
Improving RDF data with data mining
Data profiling - efficient discovery of dependencies
Scalable data profiling : distributed discovery and analysis of structural metadata
Self-adaptive data quality : automating duplicate detection
Single-column data profiling
Understanding cryptic schemata in large extract-transform-load systems
From unstructured to structured: Context-based named entity mining from text
Advancing the discovery of unique column combinations
Efficient and exact computation of inclusion dependencies for data integration
Quality-driven Query answering for Integrated Information Systems
Informationsintegration
Quality driven query answering for integrated information systems