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Query Aware Determinization of Uncertain Objects by Indexing

Authors(2):

Sakthi Priyadharshan V, Dr. Sivasubramaniam S
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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.

Sakthi Priyadharshan V, Dr. Sivasubramaniam S

Optimization, Image Identification, Indexing,Categorization

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
332-336 IJSRSET1622103   Technoscience Academy

Cite This Article

Sakthi Priyadharshan V, Dr. Sivasubramaniam S, "Query Aware Determinization of Uncertain Objects by Indexing", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.332-336, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622103.php

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