Paper Title

A Survey on Relevant Document Retrieval Features and Techniques

Authors

Ajaykumar Mourya , Prof. Chinmay Bhatt

Keywords

Classification analysis, Ontology , Supervised lassification, Un-supervised Classification, Text Mining

Abstract

As the digital data increases on servers different researcher have focused on this field. As various issues are arise on the server such as data handling, security, maintenance, etc. In this paper text document retrieval study is done with various techniques of fetching with there implementations. Here different features for the text document retrieval is explained in detailed with there requirements as feature vary as per text analysis. Paper has brief different evaluation parameters for the study and comparison of relevant documents techniques.

How To Cite

"A Survey on Relevant Document Retrieval Features and Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.534 - 537, May-2017, Available :https://ijsdr.org/papers/IJSDR1705095.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 534 - 537

Other Publication Details

Paper Reg. ID: IJSDR_170430

Published Paper Id: IJSDR1705095

Downloads: 000347038

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705095

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705095

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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