Name
Abstract | ||
|---|---|---|
ntrepôt de données tests. ABSTRACT. With the wide development of databases in general and data wa rehouses in partic- ular, it is important to reduce the tasks that a database admi nistrator must perform manually. The idea of using data mining techniques to extract useful kn owledge for administration from the data themselves has existed for some years. However, lit tle research has been achieved. The aim of this study is to search for a way of extracting usefu l knowledge from stored data to automatically apply performance optimization techniqu es, and more particularly indexing techniques. We have designed a tool that extracts frequent i temsets from a given workload to compute an index configuration that helps optimizing data ac cess time. The experiments we performed showed that the index configurations generated byour tool allowed performance gains of 15% to 25% on a test database and a test data warehouse . |
Year | Venue | Keywords |
|---|---|---|
2007 | Computing Research Repository | data mining,data minin g,motifs fréquents. keywords:databases and data warehouses,frequent itemsets.,auto-indexation,auto-indexing,mots-clés :bases et entrepôts de données |
DocType | Volume | Citations |
Journal | abs/0704.3 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamel Aouiche | 1 | 233 | 13.32 |
| Jérôme Darmont | 2 | 382 | 50.93 |