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Internet-Beitrag in Tagungsband, Workshop


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Author, Editor

Author(s):

Alvanaki, Foteini
Michel, Sebastian

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Editor(s):





BibTeX cite key*:

Avlanaki2013a

Title, Conference

Title*:

Scalable, Continuous Tracking of Tag Co-Occurrences between Short Sets using (Almost) Disjoint Tag Partitions

Booktitle*:

Third ACM SIGMOD Workshop on Databases and Social Networks (DBSocial 2013)

Event Address*:

New York, USA

URL of the conference:

https://sites.google.com/site/dbsocial13/

Event Date*:
(no longer used):


URL for downloading the paper:


Event Start Date:

23 June 2013

Event End Date:

23 June 2013

Language:

English

Organization:


Publisher

Publisher's Name:

ACM

Publisher's URL:


Address*:

New York, USA

Type:


Vol, No, pp., Year

Series:


Volume:


Number:


Month:


Pages:




Sequence Number:


Year*:

2013

ISBN/ISSN:






Abstract, Links, ©

URL for Reference:


Note:


(LaTeX) Abstract:

In this work we consider the continuous computation of set correlations over a stream of set-valued attributes, such as Tweets and their hashtags, social annotations of blog posts obtained through RSS, or updates to set-valued attributes of databases. In order to compute tag correlations in a distributed fashion, all necessary information has to be present at the computing node(s). Our approach makes use of a partitioning scheme based on set covers for efficient and replication-lean information flow. We report on the results of a preliminary performance evaluation using Tweets obtained through Twitter's streaming API.

URL for the Abstract:




Tags, Categories, Keywords:

Distributed Stream Processing, Tags, Twitter, Correlation, Continuous

HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


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Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

experts only

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BibTeX Entry:
@INPROCEEDINGS{Avlanaki2013a,
AUTHOR = {Alvanaki, Foteini and Michel, Sebastian},
TITLE = {Scalable, Continuous Tracking of Tag Co-Occurrences between Short Sets using (Almost) Disjoint Tag Partitions},
BOOKTITLE = {Third ACM SIGMOD Workshop on Databases and Social Networks (DBSocial 2013)},
PUBLISHER = {ACM},
YEAR = {2013},
ADDRESS = {New York, USA},
}


Entry last modified by Sebastian Michel, 01/30/2014
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Editor(s)
[Library]
Created
06/27/2013 04:30:16 PM
Revision
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Editor
Sebastian Michel



Edit Date
27.06.2013 16:30:16