Journal of Engineering and Applied Sciences

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New Indexing Strategy using Machine Learning Approach for Improving Query Performance

Muna Al Masawa and Sultan Almotairi
Page: 7234-7240 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

The explosive growth in data volume require new technique to handle this data in data warehouse. We know that the most frequent operation over the data is queries. Many of the queries that implement in data warehouse are being very complex and also iterative. Indexed data plays very critical key role in retrieving data and searching. There are a lot of index techniques that are proposed frequently to improve the performance of query. In this study, a new model for indexing use a machine learning algorithms is proposed and evaluated in data warehouse.

How to cite this article:

Muna Al Masawa and Sultan Almotairi. New Indexing Strategy using Machine Learning Approach for Improving Query Performance.
DOI: https://doi.org/10.36478/jeasci.2019.7234.7240
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.7234.7240