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- W2565796645 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." @default.
- W2565796645 created "2017-01-06" @default.
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- W2565796645 date "2017-01-01" @default.
- W2565796645 modified "2023-10-12" @default.
- W2565796645 title "Multidimensional Model Design using Data Mining" @default.
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- W2565796645 doi "https://doi.org/10.4018/ijdwm.2017010101" @default.
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