Query Aware Determinization of Uncertain Objects

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Year of Project2015

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Query Aware Determinization of Uncertain Objects | IEEE Projects 2015 | Final year projects | BE Projects | ME Projects | Abstract : This paper considers the problem of determinizing probabilistic data to enable such data to be stored 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 correspond to pre-existing web applications such as Flickr, Picasa, etc. The goal is to generate a deterministic representation of probabilistic data that optimizes the quality of the end-application built on deterministic data. We explore such a determinization problem in the context of two different data processing tasks — triggers and selection queries. We show that approaches 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.

Query Aware Determinization of Uncertain Objects

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As a part of project you will get below mentioned documentation along with SOURCE CODE,

1). BIBLIOGRAPHY
2). CONCLUSION
3). HARDWARE SOFTWARE SPECIFICATION
4). IMPLEMENTATION
5). INPUT DESIGN &OUTPUT DESIGN
6). INTRODUCTION
7). LITERATURE SURVEY
8). SCREENSHOT
9). SOFTWARE ENVIRONMENT
10). SYSTEM ANALYSIS
11). SYSTEM DESIGN
12). SYSTEM STUDY
13). SYSTEM TESTING

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Query Aware Determinization of Uncertain Objects

Query Aware Determinization of Uncertain Objects

Query Aware Determinization of Uncertain Objects

Technology: DOT NET and DOT NET IEEE PROJECTS.Project Tags: BE Projects, Final Year Projects, IEEE Projects 2015, KNOWLEDGE AND DATA ENGINEERING-DATA MINING, and ME Projects.

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