FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES
Abstract & Details
Research Area
Computer Engineering
Keywords
Feature Based Retrieval System
Cluster
Probability Distribution
Sensitivity
Abstract
The rapid expansion of World Wide Web has made a large number of databases like the bibliographies, scientific databases etc. So user not able to express their need explicitly and it results in to queries that lead to unsatisfactory results. The FBR (Feature Based Retrieval) system allows user to use imprecise queries to express their uncertainty. The traditional way of searching the data requires specifying the queries clearly. More time is needed to retrieve the data with traditional approach. FBR system computes the sensitivity of the output if user modifies certain conditions. The new conditions to improve the quality of result will also be explored by the FBR system. FBR system is designed in such a way that it can handle the probabilistic queries containing uncertainty. To support interactive response time, FBR system allows user to set threshold value. In large databases, to reduce the searching time there is need to search database scientifically which will lead to faster information retrieval. FBR System provides facility to reprocess the query output which is not provided by the existing System. FBR system also explores the suitable interfaces for users to express their uncertainty, and how to turn this input to probability distribution; FBR system provides facility to user to state his uncertainty in terms of probability value. It is possible to reprocess the query output using FBR system.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sarika Sarode | MET's IOE |
| 2 | K. V. Metre | MET's IOE |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Sarode, Sarika & Metre, K. V. (2017). FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES. International Journal of Advance Research and Innovative Ideas In Education, 3(4), 1196-1204.
MLA Style
Sarode, Sarika, and K. V. Metre. "FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, 2017, pp. 1196-1204.
IEEE Style
Sarika Sarode and K. V. Metre, "FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, pp. 1196-1204, 2017.
Vancouver Style
Sarode Sarika, Metre K. V.. FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(4):1196-1204.
Harvard Style
Sarode, Sarika & Metre, K. V. (2017) 'FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES', International Journal of Advance Research and Innovative Ideas In Education, 3(4), pp. 1196-1204.
Chicago Style
Sarode, Sarika and K. V. Metre. "FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 1196-1204.
Turabian Style
Sarode, Sarika and K. V. Metre. "FBR SYSTEM: USER DIRECTED FILTERING OF IMPRECISE QUERIES." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 1196-1204.
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