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  1. Proceedings of the sixteenth international workshop on Data warehousing and OLAP (DOLAP '13)
  2. Social microblogging cube
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Revisiting aggregation techniques for big data
CineCubes: cubes as movie stars with little effort
Extended dimensions for cleaning and querying inconsistent data warehouses
Data warehousing and OLAP over big data: current challenges and future research directions
Clustering cubes with binary dimensions in one pass
Meta-stars: multidimensional modeling for social business intelligence
Slowly changing measures
Optimizing OLAP cube processing on solid state drives
Social microblogging cube
Using REO on ETL conceptual modelling: a first approach
Can we analyze big data inside a DBMS?
CXT-cube: contextual text cube model and aggregation operator for text OLAP
ProtOLAP: rapid OLAP prototyping with on-demand data supply
INDREX: in-database distributional relation extraction
Lazy data structure maintenance for main-memory analytics over sliding windows

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Social microblogging cube

Content Provider ACM Digital Library
Author Boussaid, Omar Bentayeb, Fadila Hannachi, Lilia Benblidia, Nadjia
Abstract Microblogging sites have become a staple in our modern world. They provide the users with the ability to keep in touch with their contacts, using up of 140 characters in the case of Twitter sites. Responding to this emerging trend, it becomes critically important to interactively view and analyze the massive amount of microblogging data from different perspectives and with multiple granularities. In the area of Business intelligence, On-line analytical processing (OLAP) is a powerful primitive for data analysis. However, OLAP tools face major challenges in manipulating unstructured text such as microblogging data. In this paper, we suggest a new multidimensional model called "Microblogging Cube" to achieve OLAP techniques on unstructured microblogging data. It provides the possibility to analyze microblogs users and locations according to semantic, geographic and temporal axes. The semantic axe is defined by using the Open Directory Project (ODP) taxonomy. Different from existing classical multidimensional models, the measures in Microblogging Cube may vary depending on the aggregation levels. Further, in order to define the multiple granularities associated with microblogs users we propose a new process to extract the list of their communities.
Starting Page 19
Ending Page 26
Page Count 8
File Format PDF
ISBN 9781450324120
DOI 10.1145/2513190.2513200
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-10-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Microblogging services Olap Social communities
Content Type Text
Resource Type Article
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