A novel algorithm with IM-LSI index for incremental maintenance of materialized view
The ability to afford decision makers with both accurate and timely consolidated information as well as rapid query response times is the fundamental requirement for the success of a Data Warehouse. To provide fast access, a data warehouse stores materialized views of the sources of its data. As a r...
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Formato: | Articulo |
Lenguaje: | Inglés |
Publicado: |
2012
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Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/9712 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr12-6.pdf |
Aporte de: |
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I19-R120-10915-9712 |
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institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
collection |
SEDICI (UNLP) |
language |
Inglés |
topic |
Informática I-mine item set index FP growth LSI index Data warehouse and repository |
spellingShingle |
Informática I-mine item set index FP growth LSI index Data warehouse and repository Rangarajan, K. Kumaravel, A. Nalini, T. A novel algorithm with IM-LSI index for incremental maintenance of materialized view |
topic_facet |
Informática I-mine item set index FP growth LSI index Data warehouse and repository |
description |
The ability to afford decision makers with both accurate and timely consolidated information as well as rapid query response times is the fundamental requirement for the success of a Data Warehouse. To provide fast access, a data warehouse stores materialized views of the sources of its data. As a result, a data warehouse needs to be maintained to keep its contents consistent with the contents of its data sources. Incremental maintenance is generally regarded as a more efficient way to maintain materialized views in a data warehouse The view has to be maintained to reflect the updates done against the base relations stored at the various distributed data sources. The proposed approach contains two modules namely, materialized view selection(MVS) and maintenance of materialized view. (MMV). In recent times, several algorithms have been proposed for keeping the views up-to-date in response to the changes in the source data. Therefore, we present an improved algorithm for MVS and MMV using IM-LSI(Itemset Mining using Latent Semantic Index) algorithm. selection of views to materialize using the IM(Itemset Mining) algorithm method to overcome the problem resulting from conventional view selection algorithms and then we consider the maintenance of materialized views using LSI. For the justification of the proposed algorithm, we reveal the experimental results in which both time and space costs better than conventional algorithms. |
format |
Articulo Articulo |
author |
Rangarajan, K. Kumaravel, A. Nalini, T. |
author_facet |
Rangarajan, K. Kumaravel, A. Nalini, T. |
author_sort |
Rangarajan, K. |
title |
A novel algorithm with IM-LSI index for incremental maintenance of materialized view |
title_short |
A novel algorithm with IM-LSI index for incremental maintenance of materialized view |
title_full |
A novel algorithm with IM-LSI index for incremental maintenance of materialized view |
title_fullStr |
A novel algorithm with IM-LSI index for incremental maintenance of materialized view |
title_full_unstemmed |
A novel algorithm with IM-LSI index for incremental maintenance of materialized view |
title_sort |
novel algorithm with im-lsi index for incremental maintenance of materialized view |
publishDate |
2012 |
url |
http://sedici.unlp.edu.ar/handle/10915/9712 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr12-6.pdf |
work_keys_str_mv |
AT rangarajank anovelalgorithmwithimlsiindexforincrementalmaintenanceofmaterializedview AT kumaravela anovelalgorithmwithimlsiindexforincrementalmaintenanceofmaterializedview AT nalinit anovelalgorithmwithimlsiindexforincrementalmaintenanceofmaterializedview AT rangarajank novelalgorithmwithimlsiindexforincrementalmaintenanceofmaterializedview AT kumaravela novelalgorithmwithimlsiindexforincrementalmaintenanceofmaterializedview AT nalinit novelalgorithmwithimlsiindexforincrementalmaintenanceofmaterializedview |
bdutipo_str |
Repositorios |
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1764820492382896132 |