Hash Based Document Retrieval by Utilizing Term Features
Manisha Patel
, A.P. Umesh Lilhore
Information Retrieval, Text Feature, Text Mining, Text Ontology
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.
"Hash Based Document Retrieval by Utilizing Term Features", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.508 - 514, May-2017, Available :https://ijsdr.org/papers/IJSDR1705089.pdf
Volume 2
Issue 5,
May-2017
Pages : 508 - 514
Paper Reg. ID: IJSDR_170210
Published Paper Id: IJSDR1705089
Downloads: 000347048
Research Area: Engineering
Country: -, -, India
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
