IDEAS home Printed from https://ideas.repec.org/a/ijs/ijsrse/v2y2016i2idhijsrset1622103.html

Query Aware Determinization of Uncertain Objects by Indexing

Author

Listed:
  • Sakthi Priyadharshan V
  • Sivasubramaniam S

Abstract

This project considers the problem of determinizing uncertain data data to enable to facilitate the data data storage in legacy systems that accept only deterministic input. Probabilistic data may be generated by automated data analysis/enrichment techniques such as entity resolution, information extraction, and speech processing. The legacy system may represent already existing web applications such as Flickr, Picasa, etc. The idea is to create a deterministic representation of probabilistic data that improves the quality of the user end-application built on deterministic data. We study and solve such a determinization issue in the context of two different data processing tasks—triggers and selection queries. It is known that methods such as thresholding or top-1 selection traditionally used for determinization lead to suboptimal performance for such applications. Instead, we develop a query-aware strategy and show its advantages over existing solutions through a comprehensive empirical evaluation over real and synthetic datasets.

Suggested Citation

  • Sakthi Priyadharshan V & Sivasubramaniam S, 2016. "Query Aware Determinization of Uncertain Objects by Indexing," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 332-336, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622103
    Note: Article URL: https://ijsrset.com/IJSRSET1622103
    as

    Download full text from publisher

    File URL: https://ijsrset.com/IJSRSET1622103
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrset.com/paper/913.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrset.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.