期刊
INFORMATICA
卷 26, 期 2, 页码 283-312出版社
INST MATHEMATICS & INFORMATICS
DOI: 10.15388/Informatica.2015.49
关键词
data warehousing; multidimensional data model; automatic construction; user profile oriented; multiple-criteria decision analysis
资金
- European Social Fund of the European Union
This paper presents a novel approach to the adaptation of multidimensional data models to user-specific needs. The multidimensional data models used in contemporary business-intelligence systems are inherently complex. In order to reduce the complexity of these models, we propose using a qualitative multiple-criteria decision modelling method that is based on using a hierarchical tree of the criteria to decompose the larger problem into a group of smaller problems. The final value is derived by aggregating the criteria values using simple if-then rules, which form the knowledge-based expert rules in the hierarchical criteria tree that reflect users' preferences. The multiple-criteria analysis of the multidimensional model structure results in a multidimensional model that exhibits a reduced complexity and is adapted to users' needs. The model was validated using sales data from a medium-size enterprise. The qualitative (through questionnaires) and the quantitative (through usage mining) evaluation of the proposed methodology both showed that the proposed approach increases the ease-of-use of business intelligence systems and also contributes to a higher user satisfaction.
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