Searching Relevant Documents from Large Volume of Unstructured Database
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
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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