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Dynamic index selection in data warehouses
2007
2007 Innovations in Information Technologies (IIT)
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response times, data warehouse administrators casually use indexing techniques. This task is nevertheless complex and fastidious. In this paper, we present an automatic, dynamic index selection method for data warehouses that is based on incremental frequent itemset mining from a given query workload. The main advantage of
doi:10.1109/iit.2007.4430394
fatcat:rhepubhyrjg75mkpwr65muhvxq