Name
Abstract | ||
|---|---|---|
XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited performances and it is necessary to design strategies to optimize them. In this paper, we propose an automatic strategy for the selection of XML materialized views that exploit a data mining technique, more precisely the clustering of the query workload. To validate our strategy, we implemented an XML warehouse modeled along the XCube specifications. We executed a workload of XQuery decision-support queries on this warehouse, with and without using our strategy. Our experimental results demonstrate its efficiency, even when queries are complex. |
Year | Venue | Keywords |
|---|---|---|
2008 | Clinical Orthopaedics and Related Research | data warehouses,xml,complex data.,clustering,materialized views,complex data,data mining,decision support,data warehouse,management system |
Field | DocType | Volume |
Data mining,XML framework,Efficient XML Interchange,Streaming XML,Information retrieval,Computer science,XML validation,Document Structure Description,XML database,XML schema,Database,XML Schema Editor | Journal | abs/0809.1 |
ISSN | Citations | PageRank |
4th International Multiconference on Computer Science and
Information Technology (CSIT 06), Amman : Jordanie (2006) | 10 | 0.62 |
References | Authors | |
17 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadj Mahboubi | 1 | 92 | 8.60 |
| Kamel Aouiche | 2 | 233 | 13.32 |
| Jérôme Darmont | 3 | 382 | 50.93 |