A Glimpse on Iceberg Query Evaluation Techniques

  • Authors

    • V. V. Chandra Shekhar Rao
    • Dr. P. Sammulal
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.27745
  • Bitmap Index, Aggregation functions, Iceberg Queries, Counting co-occurrence

  • Abstract

    Queries are required to determine distinct quality worth’s and also their accumulation that is over a predefined limit from this significant variety of documents. The information keeping as well as getting are playing a significant function in the information clustering and also information warehousing methods. The performance of an information retrieving approach relies on the information details queries for getting the information from the data source. Iceberg query is an one-of-a-kind course of gathering query, which calculates accumulation worth’s over a provided limit. The queries which are having this sort of nature are called as Iceberg( IB) queries.

                    Existing data source system perform it similar to typical query so it take even more time to implement. It is difficult job to essence fascinating as well as crucial details promptly from big data source. Great deals of research study has actually been done to raise the rate of IB query. Initially scientists makes use of tuple check strategy to perform IB query which is time consuming and also need even more memory. To get rid of these troubles scientists recommended IB query examination utilizing Bitmap Indexing strategies. This method prevent total table check so time called for to carry out IB query is decreased as well as memory demand is likewise lowered.

     

     

  • References

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  • How to Cite

    V. Chandra Shekhar Rao, V., & P. Sammulal, D. (2018). A Glimpse on Iceberg Query Evaluation Techniques. International Journal of Engineering & Technology, 7(4.39), 997-1000. https://doi.org/10.14419/ijet.v7i4.39.27745

    Received date: 2019-02-21

    Accepted date: 2019-02-21

    Published date: 2018-12-13