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  Mining Interesting Events on Large and Dynamic Data

Alvanaki, F. (2014). Mining Interesting Events on Large and Dynamic Data. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-26593.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0025-6C4E-B Version Permalink: https://hdl.handle.net/21.11116/0000-000C-4661-8
Genre: Thesis

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http://scidok.sulb.uni-saarland.de/volltexte/2015/5985/ (Any fulltext)
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http://scidok.sulb.uni-saarland.de/doku/lic_ohne_pod.php?la=de (Copyright transfer agreement)
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 Creators:
Alvanaki, Foteini1, 2, Author           
Michel, Sebastian1, Advisor           
Weikum, Gerhard1, Referee           
Delis, Alexis3, Referee
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2International Max Planck Research School, MPI for Informatics, Max Planck Society, Campus E1 4, 66123 Saarbrücken, DE, ou_1116551              
3External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2014-12-222015-02-052014
 Publication Status: Issued
 Pages: 128 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Alvanakithesis
DOI: 10.22028/D291-26593
URN: urn:nbn:de:bsz:291-scidok-59857
Other: hdl:20.500.11880/26649
 Degree: PhD

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