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Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology

Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology

Sandro Bimonte, Lucile Sautot, Ludovic Journaux, Bruno Faivre
Copyright: © 2017 |Volume: 13 |Issue: 1 |Pages: 35
ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781522511311|DOI: 10.4018/IJDWM.2017010101
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MLA

Bimonte, Sandro, et al. "Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology." IJDWM vol.13, no.1 2017: pp.1-35. http://doi.org/10.4018/IJDWM.2017010101

APA

Bimonte, S., Sautot, L., Journaux, L., & Faivre, B. (2017). Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology. International Journal of Data Warehousing and Mining (IJDWM), 13(1), 1-35. http://doi.org/10.4018/IJDWM.2017010101

Chicago

Bimonte, Sandro, et al. "Multidimensional Model Design using Data Mining: A Rapid Prototyping Methodology," International Journal of Data Warehousing and Mining (IJDWM) 13, no.1: 1-35. http://doi.org/10.4018/IJDWM.2017010101

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Abstract

Designing and building a Data Warehouse (DW), and associated OLAP cubes, are long processes, during which decision-maker requirements play an important role. But decision-makers are not OLAP experts and can find it difficult to deal with the concepts behind DW and OLAP. To support DW design in this context, we propose: (i) a new rapid prototyping methodology, integrating two different DM algorithms, to define dimension hierarchies according to decision-maker knowledge; (ii) a complete UML Profile, to define a DW schema that integrates both the DM algorithms; (iii) a mapping process to transform multidimensional schemata according to the results of the DM algorithms; (iv) a tool implementing the proposed methodology; (v) a full validation, based on a real case study concerning bird biodiversity. In conclusion, we confirm the rapidity and efficacy of our methodology and tool in providing a multidimensional schema to satisfy decision-maker analytical needs.

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