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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Using AK-Mode Algorithm to Cluster OLAP Requirements

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Authors Nouha Arfaoui,Jalel AKaichi
ISSN 2079-8407
On Pages 1285-1291
Volume No. 3
Issue No. 9
Issue Date October 01, 2012
Publishing Date October 01, 2012
Keywords AK-mode, Clustering, Simple Matching, Ontology, Data Warehouse Schema, Data Mart Schema.


Abstract

The data warehousing is becoming increasingly important in terms of strategic decision making through their capacity to integrate heterogeneous data from multiple information sources in a common storage space, for querying and analysis. Since its design is not an easy task, we propose exploiting the OLAP requirements to construct the schemas of data marts which will be used next to build the schema of the Data Warehouse. The construction of the Data Marts is done through the clustering of the schemas that correspond to the OLAP requirements. In this work we focus on the clustering step and we propose then the use of AK-Mode which is an extension of k-mode algorithm. The AK-Mode integrates the ontology to take into consideration the semantic aspect of our data.  

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