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  Interesting Event Detection through Hall of Fame Rankings

Alvanaki, F., Ilieva, E., Michel, S., & Stupar, A. (2013). Interesting Event Detection through Hall of Fame Rankings. In K. LeFevre, A. Machanavajjhala, & A. Silberstein (Eds.), Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks (pp. 7-12). New York, NY: ACM.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0015-3A8A-C Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-B847-1
Genre: Konferenzbeitrag

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Urheber

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 Urheber:
Alvanaki, Foteini1, Autor           
Ilieva, Evica1, Autor           
Michel, Sebastian1, Autor           
Stupar, Aleksandar1, Autor           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

Inhalt

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Schlagwörter: -
 Zusammenfassung: Everything is relative. Cars are compared by gas per mile, websites by page rank, students based on GPA, scientists by number of publications, and celebrities by beauty or wealth. In this paper, we study the characteristics of such entity rankings based on a set of rankings obtained from a popular Web portal. The obtained insights are integrated in our approach, coined Pantheon. Pantheon maintains sets of top-k rankings and reports identified changes in a way that appeals to users, using a novel combination of different characteristics like competitiveness, information entropy, and scale of change. Entity rankings are assembled by combining entity type attributes with data-driven categorical constraints and sorting criteria on numeric attributes. We report on the results of an experimental evaluation using real-world data obtained from a basketball statistics website.

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Sprache(n): eng - English
 Datum: 2013
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: Avlanaki2013b
DOI: 10.1145/2484702.2484704
Anderer: Local-ID: BCF76B7E62BA3435C1257B9700501576-Avlanaki2013b
 Art des Abschluß: -

Veranstaltung

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Titel: ACM SIGMOD Workshop on Databases and Social Networks
Veranstaltungsort: New York, NY, USA
Start-/Enddatum: 2013-06-22 - 2013-06-27

Entscheidung

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Projektinformation

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Quelle 1

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Titel: Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks
  Kurztitel : DBSocial 2013
Genre der Quelle: Konferenzband
 Urheber:
LeFevre, Kristen1, Herausgeber
Machanavajjhala, Ashwin1, Herausgeber
Silberstein, Adam1, Herausgeber
Affiliations:
1 External Organizations, ou_persistent22            
Ort, Verlag, Ausgabe: New York, NY : ACM
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 7 - 12 Identifikator: ISBN: 978-1-4503-2191-4