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Friedrich-Alexander-Universität
Faculty of Engineering
Department Computer Science
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Friedrich-Alexander-Universität
Faculty of Engineering
Department Computer Science
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Research
Evolutionary Information Systems
Sprechaktbasiertes Fallmanagement
Open and Collaborative Query-Driven Analytics
Processing Heterogeneous Assets and Resources to discover Ontologies and Semantics
Schema Inference and Machine Learning
Data Quality
DQ-Step – Verbesserung der Datenqualität bei AREVA NP / Abteilung NEM-G
Data quality and innovative capability of medical products
Data Integration
DQ-Step – Verbesserung der Datenqualität bei AREVA NP / Abteilung NEM-G
Open and Collaborative Query-Driven Analytics
Processing Heterogeneous Assets and Resources to discover Ontologies and Semantics
Schema Inference and Machine Learning
Process Management
Sprechaktbasiertes Fallmanagement
Database Systems
REAPER: A Framework for Materializing and Reusing Deep-Learning Models
Data Stream Application Manager
Know Your Queries!
Assessment of Data Management Systems
Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis
Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis (Phase II)
Schema Inference and Machine Learning
Architecture of Non-Multiple Autoencoders for Non-Lossy Information Agglomeration (working title, preliminary)
Datastream Systems
Data Stream Application Manager
Cross-system Optimization of Data-stream Queries
Data Management in the Digital Humanities
Franken in historischen Reiseberichten
Campusnetzwerk Digitale Geistes- und Sozialwissenschaften
Modern Database Systems
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Research
Modern Database Systems
Modern Database Systems
Modern Database Systems
Modern hardware and the cloud require modern ideas and solutions for high-performance and efficient Database Systems.
Projects
BMDA: Buffer Management and Data Access
BMDA: Buffer Management and Data Access
→
More information
Participating Scientists
Viktor Leis
Demian Vöhringer
Publications
Vöhringer D.
,
Leis V.
:
Write-Aware Timestamp Tracking: Effective and Efficient Page Replacement for Modern Hardware
49th International Conference on Very Large Data Bases
(
Vancouver
,
28/08/2023
-
01/09/2023
)
In:
VLDB Endownment (ed.):
Proceedings of the VLDB Endowment
2023
DOI:
10.14778/3611479.3611529
URL:
https://leanstore.io
BibTeX:
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