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pro vyhledávání: '"Mann, Willi"'
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
We provide efficient support for applications that aim to continuously find pairs of similar sets in rapid streams of sets. A prototypical example setting is that of tweets. A tweet is a set of words, and Twitter emits about half a billion tweets per
Externí odkaz:
http://arxiv.org/abs/1711.02476
Akademický článek
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Autor:
Mann, Willi.
Köln, Wirtsch.- u. sozialwiss. Diss. v. 12. Nov. 1930.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb32414238r
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
We provide efficient support for applications that aim to continuously find pairs of similar sets in rapid streams of sets. A prototypical example setting is that of tweets. A tweet is a set of words, and Twitter emits about half a billion tweets per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::a80911feb6ebfa8d3d907d5804ec9613
Set similarity joins compute all pairs of similar sets from two collections of sets. We conduct extensive experiments on seven state-of-the-art algorithms for set similarity joins. These algorithms adopt a filter-verification approach. Our analysis s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::fc26ba012ea263f7bea5eb652162997a
https://eplus.uni-salzburg.at/doi/10.14778/2947618.2947620
https://eplus.uni-salzburg.at/doi/10.14778/2947618.2947620
Publikováno v:
Datenbank-Spektrum; Jul2019, Vol. 19 Issue 2, p107-115, 9p
Autor:
Belien, Jeroen, Birney, Ewan, Boiten, Jan-Willem, Brasch, Benjamin, Brunner, Sabine, Chambers, Jon, Faulconbridge, Adam, Gormanns, Philipp, Halim, Safey, Hendriksen, Ison, Karakoyun, Toeresin, Maier, Holger, Mann, Willi, McMurry, Julie, Morris, Chris, Ohmann, Christian, Overington, John, Parkinson, Helen, Steinkamp, Ralph, Swertz, Morris, Winn, Martyn
The report describes six pilot integration studies which span the BioMedBridges domains and which will act as drivers for future data integration activities: Pilot 1 (Biosample information integration and discovery) integrated two pivotal resources b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a5e79341052b96cf1950d690e655a23
Autor:
Mann, Willi, Augsten, Nikolaus
Set similarity joins compute all pairs of similar sets from two collections of sets. Set similarity joins are typically implemented in a filter-verify framework: a filter generates candidate pairs, possibly including false positives, which must be ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::63f91902d3e715ed3d57ddd4a001a687