DocumentCode :
2456526
Title :
Cubing Algorithms for XML Data
Author :
Cuzzocrea, Alfredo
Author_Institution :
ICAR-CNR, Univ. of Calabria, Rende, Italy
fYear :
2009
fDate :
Aug. 31 2009-Sept. 4 2009
Firstpage :
407
Lastpage :
411
Abstract :
The problem of effectively and efficiently building OLAP data cubes over XML data sources is prominent in next-generation Enterprise Information Systems. The latter is the goal of so-called cubing algorithms, which have attracted a great deal of attention from the Database and Data Warehousing research community. On the basis of this breaking evidence, in this paper we provide a comprehensive survey on cubing algorithms for XML data, along with a critical analysis of these algorithms, and discussion on open issues and future research trends in XML-OLAP research.
Keywords :
XML; data mining; data warehouses; OLAP data cubes; XML data; cubing algorithms; data warehousing; enterprise information systems; Aggregates; Algorithm design and analysis; Databases; Decision support systems; Information systems; Multidimensional systems; Software algorithms; Time series analysis; Warehousing; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location :
Linz
ISSN :
1529-4188
Print_ISBN :
978-0-7695-3763-4
Type :
conf
DOI :
10.1109/DEXA.2009.97
Filename :
5337082
Link To Document :
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