Dynamic Query Forms for Database Queries

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Dynamic Query Forms for Database Queries

IEEE Projects 2013 | Final year projects | BE Projects | Abstract: Modern scientific and web databases maintain large and heterogeneous data. These real-world database schemas contain over hundreds or even thousands of attributes and relations. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users. This paper proposes DQF, a novel database query form interface, which is able to dynamically generate query forms. The essence of DQF is to capture the user’s preference and rank query form components. The generation of the query form is an iterative process and is guided by the user. At each iteration, the system automatically generates ranking lists of form components and the user then adds the desired form components into the query form. The ranking of form components is based on the captured user preference. The user can also fill the query form and submit queries to view the query result at each iteration. In this way, the query form could be dynamically refined until the user satisfies with the query results. We propose a metric for measuring the goodness of a query form. A probabilistic model is developed for estimating the goodness of a query form in DQF. Our experimental evaluation and user study demonstrate the effectiveness and efficiency of the system.

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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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Dynamic Query Forms for Database Queries

Dynamic Query Forms for Database Queries

Dynamic Query Forms for Database Queries

Technology: DOT NET and DOT NET IEEE PROJECTS.Project Tags: Cloud Computing, Final Year Projects, IEEE 2013 Projects, and KNOWLEDGE AND DATA ENGINEERING-DATA MINING.

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