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pro vyhledávání: '"Hütter, Thomas"'
This paper introduces a novel approach to schema inference as an on-demand function integrated directly within a DBMS, targeting NoSQL databases where schema flexibility can create challenges. Unlike previous methods relying on external frameworks li
Externí odkaz:
http://arxiv.org/abs/2411.13278
Autor:
Thiel, Konstantin Emil, Kocher, Daniel, Augsten, Nikolaus, Hütter, Thomas, Mann, Willi, Schmitt, Daniel Ulrich
Density-based clustering aims to find groups of similar objects (i.e., clusters) in a given dataset. Applications include, e.g., process mining and anomaly detection. It comes with two user parameters ({\epsilon}, MinPts) that determine the clusterin
Externí odkaz:
http://arxiv.org/abs/2304.04817
The JavaScript Object Notation (JSON) is a popular data format used in document stores to natively support semi-structured data. In this paper, we address the problem of JSON similarity lookup queries: given a query document and a distance threshold
Externí odkaz:
http://arxiv.org/abs/2201.08099
Akademický článek
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Publikováno v:
Proceedings of the VLDB Endowment, 16 (8), 1830 – 1842
The w-event framework is the current standard for ensuring differential privacy on continuously monitored data streams. Following the proposition of w-event differential privacy, various mechanisms to implement the framework are proposed. Their compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72e905b5449571f4e80aa978d9b55a31
https://publikationen.bibliothek.kit.edu/1000160281
https://publikationen.bibliothek.kit.edu/1000160281
Autor:
Hütter, Thomas1 (AUTHOR) thomas.huetter@sbg.ac.at, Ganser, Maximilian H2 (AUTHOR), Kocher, Manuel1 (AUTHOR), Halkic, Merima1 (AUTHOR), Agatha, Sabine2 (AUTHOR), Augsten, Nikolaus1 (AUTHOR)
Publikováno v:
BMC Bioinformatics. 4/20/2020, Vol. 21 Issue 1, p1-9. 9p. 1 Diagram, 2 Charts.
The 𝑤-event framework is the current standard for ensuring differential privacy on continuously monitored data streams. Following the proposition of𝑤-event differential privacy, various mechanisms to implement the framework were proposed. Their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c1a2f717faf1dbf1cba9e761c636475
Akademický článek
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Although many works in the database community use open data in their experimental evaluation, repeating the empirical results of previous works remains a challenge. This holds true even if the source code or binaries of the tested algorithms are avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::a5928d7b50e89e98269539d6428278c6
The tree similarity join computes all similar pairs in a collection of trees. Two trees are similar if their edit distance falls within a user-defined threshold. Previous algorithms, which are based on a filter-verify approach, suffer from the follow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::2f50e935d0d79d1014fc12e0add7adc1
https://eplus.uni-salzburg.at/doi/10.1109/ICDE.2019.00081
https://eplus.uni-salzburg.at/doi/10.1109/ICDE.2019.00081