Fuzzy Clustering For Forensic Science Documents

Authors

  • Manisha Bhore Computer Engg., AISSMSCOE
  • Prajakta Satpute Computer Engg., AISSMSCOE
  • Ashwini Shinde Computer Engg., AISSMSCOE
  • Raveena Rao Computer Engg., AISSMSCOE

Keywords:

Pre-processing, Feature Extraction, Fuzzy Clustering, Fuzzy logic, Web crawler

Abstract

In this paper we have come up with a system that will work on clustering for forensic science documents.
They are widely used for the investigation process in forensic crime branch, police investigations. Many systems are
existing in market but they deal with non semantic clustering of documents and also require a lot of time and space
complexity. So to overcome this disadvantage a proposed system puts forward the idea of fuzzy clustering for forensic
science documents by using web crawler, feature extraction and fuzzy clustering, fuzzy logic and weighted score matrix.
This system will eventually help in reducing a great amount of time and effort in the investigation process.

Published

2015-12-25

How to Cite

Manisha Bhore, Prajakta Satpute, Ashwini Shinde, & Raveena Rao. (2015). Fuzzy Clustering For Forensic Science Documents. International Journal of Advance Engineering and Research Development (IJAERD), 2(12), 11–13. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/5253