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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Hash Based Document Retrieval by Utilizing Term Features
Authors Name: Manisha Patel , A.P. Umesh Lilhore
Unique Id: IJSDR1705089
Published In: Volume 2 Issue 5, May-2017
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 document retrieval was proposed that efficiently the fetch document as per query. Here hash based indexing of the dataset document was done by utilizing term features. In order to provide privacy for the terms each of this is identified by a unique number and each document has its hash index key for identification. Experiment was done on real and artificial dataset. Results shows that NDCG, precision, recall parameter of the work is better as compare to previous work on different size of datasets.
Keywords: Information Retrieval, Text Feature, Text Mining, Text Ontology
Cite Article: "Hash Based Document Retrieval by Utilizing Term Features", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.508 - 514, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705089.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR1705089
Registration ID:170210
Published In: Volume 2 Issue 5, May-2017
DOI (Digital Object Identifier):
Page No: 508 - 514
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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