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Information Systems - Data warehousing
Extending Practical Pre-Aggregation in On-Line Analytical Processing
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Modelling and Optimisation Issues for Multidimensional Databases
CAiSE '00 Proceedings of the 12th International Conference on Advanced Information Systems Engineering
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UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
STORM: a statistical object representation model
SSDBM'1990 Proceedings of the 5th international conference on Statistical and Scientific Database Management
YAM2: a multidimensional conceptual model extending UML
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The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Graph OLAP: a multi-dimensional framework for graph data analysis
Knowledge and Information Systems
Topic modeling for OLAP on multidimensional text databases: topic cube and its applications
Statistical Analysis and Data Mining - Best of SDM'09
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DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
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DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
Differentiated multiple aggregations in multidimensional databases
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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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.