Dynamic materialized view selection algorithm: a clustering approach

Authors:
Manoj S. Chaudhari;Chandrashekhar Dhote
Affiliations:
CSE Dept., PRMIT & R, Badnera, India;CSE Dept., PRMIT & R, Badnera, India
Venue:
ICDEM'10 Proceedings of the Second international conference on Data Engineering and Management
Year:
2010

Citing 3
Cited 1

Selection of Views to Materialize in a Data Warehouse

IEEE Transactions on Knowledge and Data Engineering
Materialized View Selection in Data Warehousing

ITNG '07 Proceedings of the International Conference on Information Technology
Clustering-Based Dynamic Materialized View Selection Algorithm

FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 05

MOWS: macro and micro online webview selection

Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics

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Abstract

A data warehouse can be seen as a set of materialized views defined over remote base relation. When the query is posed, it is evaluated locally using the materialized view without accessing the original database. The paper proposes clustering based dynamic materialized view selection algorithm. The base of the paper is to propose similarity function, clustering materialized view and then dynamically adjusting the materialized view.