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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM3183

Data Mining Using Dynamic Query Form Techniques

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM3183

Volume:

4 |

3 |

Mar 2020

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PD

Pranali Dhamankar

MM

Manisha Moundekar

HB

Harshal Bansod

PY

Purwa Yawalkar

AN

Archana Nikose

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Abstract

Query form is one of the most widely used user interfaces for querying databases. Modern scientific and web databases maintain large and heterogeneous data. With the rapid development of web information and scientific databases, modern databases become very large and complex. It is Difficult to design a set of static query forms to satisfy various ad-hoc database queries on complex databases. Here we propose a novel database query form interface, which is able to dynamically generate query forms. The generation of the query form is an iterative process and is guided by the user. The essence of dynamic query form is to capture user interests during user interactions and to adapt the query form iteratively. Each iteration consists of two types of user interactions: Query Form Enrichment and Query Execution. 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

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Cite This Article

Pranali Dhamankar, Manisha Moundekar, Harshal Bansod, Purwa Yawalkar, Archana Nikose, "Data Mining Using Dynamic Query Form Techniques," International Journal of Scientific Research in Engineering and Management, vol. 4, no. 3, Mar 2020.

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Publication Date

4/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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