IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 94

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: A Distributed K-Nearest-Neighbor Algorithm For Text Categorization
Authors Name: SUMAN SAHU , DR.ABHA CHOUBEY
Download E-Certificate: Download
Author Reg. ID:
IJNRD_170133
Published Paper Id: IJNRD1709004
Published In: Volume 2 Issue 9, September-2017
DOI:
Abstract: Text categorization is the application of text mining. Content classification is a supervised learning technique, it plays important role for indexing of document like different applications. Content order has abundant applications, in several fields and for different sorts of information. Numerous issues identified with information stockpiling, administration and recovery can be defined as far as content order. Clustering plays vital part in text mining. K-means clustering is widely used text categorization technique, still more work can be carried out to improve the performance of k-means text classification technique. In this paper we have proposed parallelization of the renowned k-means clustering algorithm. The parallel implementation of k-means uses data parallelism. In this paper we have compared the performance of parallel k-means text classification with sequential k-means with respect to time factor i.e. total time required for content classification and eventually we have calculated the F-measure value by calculating precision and recall which decides what percentage of messages were classified correctly.
Keywords: KNN;Recall; F-measure; Precision
Cite Article: "A Distributed K-Nearest-Neighbor Algorithm For Text Categorization", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.2, Issue 9, page no.10-13, September-2017, Available :http://www.ijnrd.org/papers/IJNRD1709004.pdf
Downloads: 000118749
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD1709004
Registration ID: 170133
Published In: Volume 2 Issue 9, September-2017
DOI (Digital Object Identifier):
Page No: 10-13
Country: DURG, CHHATTISGARH, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD1709004
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD1709004
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD