J. Darmont

Publications142
h-index21
Citations1,572
Highly Influential Citations81
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Automatic Selection of Bitmap Join Indexes in Data Warehouses
TLDR
This work exploits a data mining technique ; more precisely frequent itemset mining, in order to determine a set of candidate indexes from a given workload, and proposes several cost models allowing to create an index configuration composed by the indexes providing the best profit.
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Clustering-Based Materialized View Selection in Data Warehouses
TLDR
A framework for materialized view selection is proposed that exploits a data mining technique (clustering) in order to determine clusters of similar queries and a view merging algorithm that builds a set of candidate views, as well as a greedy process for selecting aSet of views to materialize.
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Fusion Cubes: Towards Self-Service Business Intelligence
TLDR
The underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.
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Data mining-based materialized view and index selection in data warehouses
TLDR
This paper couple materialized view and index selection to take view–index interactions into account and achieve efficient storage space sharing and results show that this strategy performs better than an independent selection of materialized views and indexes.
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Business intelligence for small and middle-sized entreprises
TLDR
The existing approaches and tools working in main memory and/or with web interfaces (including freeware tools), relevant for small and middle-sized enterprises in decision making are discussed.
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OCB: A Generic Benchmark to Evaluate the Performances of Object-Oriented Database Systems
TLDR
A generic object-oriented benchmark that has been designed to evaluate the performances of clustering policies in object- oriented databases, OCB is generic because its sample database may be customized to fit the databases introduced by the main existing benchmarks (e.g., OO1).
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VOODB: A Generic Discrete-Event Random Simulation Model To Evaluate the Performances of OODBs
TLDR
VOODB has been designed as a generic discrete-event random simulation model by putting to use a modelling approach, and has been validated by simulating the behavior of the O2 OODB and the Texas persistent object store.
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Active XML-based Web data integration
TLDR
This paper proposes a generic, metadata-based, service-oriented, and event-driven approach for integrating Web data timely and autonomously, and designs and develops a framework that utilizes Web standards for tackling data heterogeneity, distribution and interoperability issues.
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Metadata Systems for Data Lakes: Models and Features
TLDR
Data querying and analysis depend on a metadata system that must be efficient and comprehensive, and metadata management in data lakes remains a current issue and the criteria for evaluating its effectiveness are more or less nonexistent.
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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 Distance…
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