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Automatic Selection of Bitmap Join Indexes in Data Warehouses
TLDR
The queries defined on data warehouses are complex and use several join operations that induce an expensive computational cost. Expand
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Clustering-Based Materialized View Selection in Data Warehouses
TLDR
In this paper, we propose a framework for materialized view selection that exploits a data mining technique (clustering), in order to determine clusters of similar queries. Expand
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Fusion Cubes: Towards Self-Service Business Intelligence
TLDR
Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Expand
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Data mining-based materialized view and index selection in data warehouses
TLDR
We couple materialized view and index selection to take view–index interactions into account and achieve efficient storage space sharing. Expand
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Business intelligence for small and middle-sized entreprises
Data warehouses are the core of decision support systems, which nowadays are used by all kind of enterprises in the entire world. Although many studies have been conducted on the need of decisionExpand
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OCB: A Generic Benchmark to Evaluate the Performances of Object-Oriented Database Systems
TLDR
We present in this paper a generic object-oriented benchmark (the Object Clustering Benchmark) that has been designed to evaluate the performances of clustering policies inobject-oriented databases. Expand
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VOODB: A Generic Discrete-Event Random Simulation Model To Evaluate the Performances of OODBs
TLDR
We propose a generic discrete-event random simulation model, called VOODB, in order to evaluate the performance of OODBs in general, and the performances of optimization methods like clustering in particular. Expand
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Processing And Managing Complex Data for Decision Support
A Sample of Contents: Goal-Oriented Requirement Engineering for XML Document Warehouses Building an Active Content Warehouse Text Warehousing: Present and Future On the Usage of Structural DistanceExpand
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Fragmenting very large XML data warehouses via K-means clustering algorithm
TLDR
We propose the use of the K-means clustering algorithm for effectively and efficiently supporting the fragmentation of very large XML data warehouses. Expand
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Cost models for view materialization in the cloud
TLDR
We define new cost models that fit into the pay-as-you-go paradigm of cloud computing. Expand
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