TY  - JOUR
T1  - New Indexing Strategy using Machine Learning Approach for
Improving Query Performance
AU - Almotairi, Sultan AU - Masawa, Muna Al 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 19
SP  - 7234
EP  - 7240
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7234.7240
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7234.7240
KW  - Indexing
KW  -secondary indexing k-means
KW  -clustering
KW  -big data
KW  -data warehouse
KW  -efficiency
KW  -query
AB  - 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.
ER  -