MRE-KDD+: an innovative multi-resolution, ensemble framework for supporting OLAM-based big data analytics over big data warehouses

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dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorGarcía Bringas, Pablo
dc.date.accessioned2026-04-17T12:08:29Z
dc.date.available2026-04-17T12:08:29Z
dc.date.issued2025
dc.date.updated2026-04-17T12:08:29Z
dc.description.abstractBig data settings are currently evolving from classical systems that focus on supporting advanced decision-support processes—as applied to many real-life scenarios, which are typically populated by distributed and heterogeneous data sources, such as conventional distributed data warehousing environments—to cooperative information systems. Different data formats contribute to define challenging big data systems, in which the main issue consists in supporting modern big data analytics involving massive amounts of data. As a consequence, a relevant research challenge is how to efficiently integrate, process, and mine such distributed knowledge, which composes the foundations of final big data analytics processes. Starting from these considerations, in this paper the authors propose an online analytical mining-based framework for supporting big data analytics, along with a formal model underlying this framework, called Multi-Resolution Ensemble-Based Model for Advanced Knowledge Discovery in Big Data Warehouses.en
dc.description.sponsorshipThis research was supported by the ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing within the NextGenerationEU program (Project Code: PNRR CN00000013).
dc.identifier.citationCuzzocrea, A., & Garcia Bringas, P. (2025). MRE-KDD+: an innovative multi-resolution, ensemble framework for supporting OLAM-based big data analytics over big data warehouses. International Journal of Data Warehousing and Mining, 21(1). https://doi.org/10.4018/IJDWM.395849
dc.identifier.doi10.4018/IJDWM.395849
dc.identifier.eissn1548-3932
dc.identifier.issn1548-3924
dc.identifier.urihttps://hdl.handle.net/20.500.14454/5678
dc.language.isoeng
dc.publisherIGI Global
dc.subject.otherBig data
dc.subject.otherBig data analytics
dc.subject.otherBig data management
dc.subject.otherBig data warehouses
dc.subject.otherOLAM-based big data analytics
dc.titleMRE-KDD+: an innovative multi-resolution, ensemble framework for supporting OLAM-based big data analytics over big data warehousesen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue1
oaire.citation.titleInternational Journal of Data Warehousing and Mining
oaire.citation.volume21
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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