User Interface to evaluate Fuzzy Matching Results

Authors

  • Chirag Nagpal Dept. Of Computer Engineering, Army Institute of Technology
  • Neha Malik Dept. Of Computer Engineering, Army Institute of Technology
  • Ajit Singh Dept. Of Computer Engineering, Army Institute of Technology
  • Shushma Shirke Dept. Of Computer Engineering, Army Institute of Technology
  • Shinsmon Varghese Dept. Of Computer Engineering, Army Institute of Technology

Keywords:

component; formatting; style; styling; insert (key words) (minimum 5 keyword require) [10pt, Times new roman,Italic, line spacing 1.0]

Abstract

Entity Resolution is a challenging problem, even more relevant in todays’ time of big data. In this paper, we
present a User Interface framework in order to perform and evaluate results of the Entity Resolution process. The user
interface provides an intuitive experience to an end user to experiment with various parameters, and machine learning
algorithms to perform fuzzy clustering based Entity Resolution.

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Published

2016-04-25

Issue

Vol. 3 No. 4 (2016): Volume 3 Issue 4 April -2016

Section

Articles

How to Cite

User Interface to evaluate Fuzzy Matching Results. (2016). International Journal of Advance Engineering and Research Development (IJAERD), 3(4), 28-31. https://ijaerd.org/index.php/IJAERD/article/view/1265

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