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Erik Zeitler
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Books and Theses
- 2011
- [b1]Erik Zeitler:
Scalable Parallelization of Expensive Continuous Queries over Massive Data Streams. Uppsala University, Sweden, 2011
Journal Articles
- 2019
- [j2]Raya Rizk
, Steve McKeever, Johan Petrini, Erik Zeitler:
Diftong: a tool for validating big data workflows. J. Big Data 6: 41 (2019) - 2011
- [j1]Erik Zeitler, Tore Risch:
Massive Scale-out of Expensive Continuous Queries. Proc. VLDB Endow. 4(11): 1181-1188 (2011)
Conference and Workshop Papers
- 2024
- [c6]Kunru Chen, Jonas Klang, Erik Zeitler:
From Publication to Production: Interactive Deployment of Forklift Activity Recognition. ICIT 2024: 1-6 - 2010
- [c5]Erik Zeitler, Tore Risch:
Scalable Splitting of Massive Data Streams. DASFAA (2) 2010: 184-198 - 2008
- [c4]Gyözö Gidófalvi, Torben Bach Pedersen, Tore Risch, Erik Zeitler:
Highly scalable trip grouping for large-scale collective transportation systems. EDBT 2008: 678-689 - 2007
- [c3]Erik Zeitler, Tore Risch:
Using stream queries to measure communication performance of a parallel computing environment. ICDCS Workshops 2007: 65 - 2006
- [c2]Erik Zeitler, Tore Risch:
Processing High-Volume Stream Queries on a Supercomputer. ICDE Workshops 2006: 147 - 2002
- [c1]Keiichiro Hoashi, Erik Zeitler, Naomi Inoue:
Implementation of relevance feedback for content-based music retrieval based on user prefences. SIGIR 2002: 385-386
Parts in Books or Collections
- 2009
- [p1]Tore Risch, Samuel Madden, Hari Balakrishnan, Lewis Girod, Ryan Newton, Milena Ivanova, Erik Zeitler, Johannes Gehrke, Biswanath Panda, Mirek Riedewald:
Analyzing Data Streams in Scientific Applications. Scientific Data Management 2009
Coauthor Index
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