A horizontal fragmentation algorithm for the fact relation in a distributed data warehouse
Proceedings of the eighth international conference on Information and knowledge management
Curio: A Novel Solution for Efficient Storage and Indexing in Data Warehouses
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
XML Data Warehouse: Modelling and Querying
Proceedings of the Baltic Conference, BalticDB&IS 2002 - Volume 1
Tree logical classes for efficient evaluation of XQuery
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
XPath lookup queries in P2P networks
Proceedings of the 6th annual ACM international workshop on Web information and data management
X-warehouse: building query pattern-driven data
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Extending XQuery for analytics
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
A Model for Distributing and Querying a Data Warehouse on a Computing Grid
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Volume 01
Progressive Clustering for Database Distribution on a Grid
ISPDC '05 Proceedings of the The 4th International Symposium on Parallel and Distributed Computing
Current Trends in Database Technology - EDBT 2006: EDBT 2006 Workshop PhD, DataX, IIDB, IIHA, ICSNW, QLQP, PIM, PaRMa, and Reactivity on the Web, Munich, ... Papers (Lecture Notes in Computer Science)
Expressing OLAP operators with the TAX XML algebra
DataX '08 Proceedings of the 2008 EDBT workshop on Database technologies for handling XML information on the web
Efficient Fragmentation of Large XML Documents
DEXA '07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Data warehouses in grids with high qos
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
An evolutionary approach to schema partitioning selection in a data warehouse
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
X-warehousing: an XML-based approach for warehousing complex data
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
Clustering-based materialized view selection in data warehouses
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
Partitioning methods for multi-version XML data warehouses
Distributed and Parallel Databases
Dimension table driven approach to referential partition relational data warehouses
Proceedings of the ACM twelfth international workshop on Data warehousing and OLAP
Vertical fragmentation of XML data warehouses using frequent path sets
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
On simplifying integrated physical database design
ADBIS'11 Proceedings of the 15th international conference on Advances in databases and information systems
Hi-index | 0.00 |
With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail to achieve. However, XML-native database systems currently suffer from limited performances, both in terms of manageable data volume and response time. Fragmentation helps address both these issues. Derived horizontal fragmentation is typically used in relational data warehouses and can definitely be adapted to the XML context. However, the number of fragments produced by classical algorithms is difficult to control. In this paper, we propose the use of a k-means-based fragmentation approach that allows to master the number of fragments through its k parameter. We experimentally compare its efficiency to classical derived horizontal fragmentation algorithms adapted to XML data warehouses and show its superiority.