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Context-aware generalization for cube measures (2010)
| Content Provider | CiteSeerX |
|---|---|
| Author | Pitarch, Yoann Favre, Cécile Poncelet, Pascal Laurent, Anne |
| Description | In DOLAP Hierarchies are crucial for analysis in data warehouses. But they can hardly be defined on measure attributes. In this paper, we tackle this issue and we show that measure generalizations often depend on a context. For instance, a given blood pressure can be either low, normal or high regarding not only the collected measure but also characteristics of the patient such as the age. The contribution of this paper is threefold. (1) Thanks to an external database storing the expert knowledge, we propose an effective solution for considering these hierarchies. (2) In order to efficiently manage this knowledge, a Rich Internet Application is developed. (3) Finally, in order to provide a flexible analysis, a query rewriting module is proposed. Thus, it is possible to answer queries such as: “Who had a low blood pressure last night?”. Categories and Subject Descriptors |
| File Format | |
| Language | English |
| Publisher Date | 2010-01-01 |
| Access Restriction | Open |
| Subject Keyword | Blood Pressure Flexible Analysis Rich Internet Application Data Warehouse External Database Query Rewriting Module Expert Knowledge Context-aware Generalization Measure Attribute Subject Descriptor Measure Generalization Effective Solution Collected Measure Cube Measure Low Blood Pressure Last Night |
| Content Type | Text |
| Resource Type | Article |
