@article{MAKHILLJEAS2019141918480,
    title = {New Indexing Strategy using Machine Learning Approach for
Improving Query Performance},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {19},
    pages = {7234-7240},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7234.7240},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7234.7240},
    author = {Sultan and},
    keywords = {Indexing,secondary indexing k-means,clustering,big data,data warehouse,efficiency,query},
    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.}
    }