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OLAP4Tweets: Multidimensional Modeling of tweets

Ben Kraiem, Maha and Feki, Jamel and Khrouf, Kaïs and Ravat, Franck and Teste, Olivier OLAP4Tweets: Multidimensional Modeling of tweets. (2015) In: 19th East-European Conference on Advances in Databases and Information Systems (ADBIS 2015), 8 September 2015 - 11 September 2015 (Poitiers, France).

(Document in English)

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Official URL: http://dx.doi.org/10.1007/978-3-319-23201-0_9


Twitter, a popular microblogging platform, is at the epicenter of the social media explosion, with millions of users being able to create and publish short posts, referred to as tweets, in real time. The application of the OLAP (On-Line Analytical Processing) on large volumes of tweets is a challenge that would allow the extraction of information (especially knowledge) such as user behavior, new emerging issues, trends… In this paper, we pursue a goal of providing a generic multidimensional model dedicated to the OLAP of tweets. The proposed model reflects on some specifics such as recursive references between tweets and calculated attributes.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 539 of the series Communications in Computer and Information Science ISSN : 1865-0929 ISBN: 978-3-319-23200-3. The original PDF is available at: http://link.springer.com/chapter/10.1007%2F978-3-319-23201-0_9
HAL Id:hal-01343054
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:24 Jun 2016 13:50

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