Searching Relevant Documents from Large Volume of Unstructured Database

Abstract

In large organizations managing of data is very tedious task. these includes unstructured data such as images,videos,MP3 files, emails etc. The central aspect of research is to identify right document from unstructured documents. It refers Tf-Idf technology, clustering mechanism, similarity measure etc. When multiple document contains same data as input then document which is most similar to input query it should be display first. For that we can use Stemming Algorithm.

Authors and Affiliations

Sarika Kolhe, Varsha Tambe, Gayatri Pawar, Priyanka Ubale, Prof. Nihar Ranjan

Keywords

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  • EP ID EP20053
  • DOI -
  • Views 283
  • Downloads 5

How To Cite

Sarika Kolhe, Varsha Tambe, Gayatri Pawar, Priyanka Ubale, Prof. Nihar Ranjan (2015). Searching Relevant Documents from Large Volume of Unstructured Database. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(4), -. https://europub.co.uk/articles/-A-20053