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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

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Query Aware Determinization of Uncertain Objects

P.Jhancy, K.Lakshmi , Dr.S.Prem Kumar, ,
Affiliations
Pursuing M.Tech, CSE Branch, Dept of CSE
Assistant Professor, Department of Computer Science and Engineering</br>Professor & HOD, Department of computer science and engineering, G.Pullaiah College of Engineering and Technology, Kurnool, Andhra Pradesh, India.
:NOT ASSIGNED


Abstract
The main aim of this paper is to think about the trouble of determining probabilistic data to allow such data to be stored in legacy systems that agree only deterministic input. Probabilistic data may be produced by mechanized data analysis methods such as entity resolution, information extraction, and speech processing etc. The target is to make a deterministic depiction of probabilistic data that optimizes the excellence of the end-application built on deterministic data. We discover such a determinization problem in the background of two dissimilar data processing jobs – selection and triggers queries. Here approaches such as thresholding or top-1 selection usually used for determinization lead to suboptimal presentation for such applications. As an alternative, we expand a query-aware strategy and demonstrate its rewards over existing solutions through a complete empirical evaluation over real and synthetic datasets.


Citation
P.Jhancy,K.Lakshmi,Dr.S.Prem Kumar."Query Aware Determinization of Uncertain Objects". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 12,pp.904-907, December - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I1217.pdf,


Keywords : uncertain data, query workload, data quality, branch and bound algorithm.

References
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DOI:10.22362/ijcert


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