activity
20082017
most citedFragmenting very large XML data warehouses via K-means clustering algorithm

41 citations · 70 across the 11 of their papers we have counts for

collaborators

11 papers

cs.DB2017

Innovative Approaches for efficiently Warehousing Complex Data from the Web

Fadila Bentayeb, Nora Maïz, Hadj Mahboubi +5

Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. With the development of In…

cs.DB2017★ 1 cited

Query Performance Optimization in XML Data Warehouses

Hadj Mahboubi, Jérôme Darmont

XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native-XML database management systems (DBMSs) currently bear li…

cs.DB2017★ 1 cited

Indices in XML Databases

Hadj Mahboubi, Jérôme Darmont

With XML becoming a standard for business information representation and exchange, stor-ing, indexing, and querying XML documents have rapidly become major issues in database resea…

cs.DB2017★ 1 cited

X-WACoDa: An XML-based approach for Warehousing and Analyzing Complex Data

Hadj Mahboubi, Jean-Christian Ralaivao, Sabine Loudcher +3

Data warehousing and OLAP applications must nowadays handle complex data that are not only numerical or symbolic. The XML language is well-suited to logically and physically repres…

cs.DB2017★ 41 cited

Fragmenting very large XML data warehouses via K-means clustering algorithm

Alfredo Cuzzocrea, Jérôme Darmont, Hadj Mahboubi

XML data sources are more and more gaining popularity in the context of a wide family of Business Intelligence (BI) and On-Line Analytical Processing (OLAP) applications, due to th…

cs.DB2011★ 3 cited

XWeB: the XML Warehouse Benchmark

Hadj Mahboubi, Jérôme Darmont

With the emergence of XML as a standard for representing business data, new decision support applications are being developed. These XML data warehouses aim at supporting On-Line A…