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CSTSDECN29X
As the Environment of Internet continues to grow the users of searching the data also increases. By this development of web information and scientific databases it is not able to get user require results with the static query forms. The Dynamic Query forms are able to dynamically generate query forms with the selection of user interested components and rank the query form components. The creation of query forms is an iteration process and user selects interested components in iteration process. The form components ranking are based on the user interest and Fmeasure is used to measure the query form goodness. The incremental hierarchical data clustering framework is used to capture the user’s interest based on click feedback to input some keyword queries.
S. Naresh. 2015. \u201cRanking based Dynamic Query forms for Database Queries\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 15 (GJCST Volume 15 Issue C4): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 102
Country: India
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: S. Naresh, B.Gurunadha Rao (PhD/Dr. count: 0)
View Count (all-time): 266
Total Views (Real + Logic): 8394
Total Downloads (simulated): 2171
Publish Date: 2015 06, Fri
Monthly Totals (Real + Logic):
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As the Environment of Internet continues to grow the users of searching the data also increases. By this development of web information and scientific databases it is not able to get user require results with the static query forms. The Dynamic Query forms are able to dynamically generate query forms with the selection of user interested components and rank the query form components. The creation of query forms is an iteration process and user selects interested components in iteration process. The form components ranking are based on the user interest and Fmeasure is used to measure the query form goodness. The incremental hierarchical data clustering framework is used to capture the user’s interest based on click feedback to input some keyword queries.
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