DOI:10.20894/IJCNES.
Periodicity: Bi Annual.
Impact Factor:
SJIF:5.217
Submission:Any Time
Publisher:IIR Groups
Language:English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJCNES provides online manuscript tracking system.

Every issue of Journal of IJCNES is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJCNES special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJCNES website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 3 Issue 1 Date of Publication:   June 2014

Predict the Future Path Based on Frequent Path Detection using Particle Swarm and Binary Bat Optimization Technique

M.Selvi Mohana,B.Rosiline Jeetha

Page(s):   31-34 ISSN:   2278-2397
DOI:   10.20894/IJCNES.103.003.001.006 Publisher:   Integrated Intelligent Research (IIR)


  1. Bamshad Mobasher,   "Automatic Personalization Based on Web Usage Mining   ,2000
    View Artical

  2. K. Thangavel,   "Mining Correlated Bicluster from Web Usage Data Using Discrete Firefly Algorithm Based Biclustering ",   International Journal of Mathematical, Computation   ,2014
    View Artical

  3. R.Rathipriya,   "Binary Particle Swarm Optimization based Biclustering of Web usage Data",   International Journal of Computer Applications   ,2011
    View Artical

  4. ,   "An Advanced Optimal Web Intelligent Model for Mining Web User Usage Behavior using Genetic Algorithm   ,2010
    View Artical

  5. Lu DaiAn,   "Efficient Web Usage Mining Approach Using Chaos Optimization and Particle Swarm Optimization Algorit",   Hindawi Publishing Corporation Mathematical Proble   ,2013
    View Artical

  6. C. Ramos,   "A novel algorithm for feature selection using harmony search and its application for non-technical l",   Computers & Electrical Engineering   ,2011
    View Artical

  7. H. R. Kanan, K. Faez, and S. M. Taheri,   "Feature selection using ant colony optimization (ACO): a new method and comparative study in the app",   Proceedings of the 7th industrial conference on Ad   ,2007
    View Artical

  8. Ebru TURANO?LUa,   "Particle Swarm Optimization And Artificial Bee Colony Approaches To Optimize Of Single Input-Output ",   Proceedings of the 41st International Conference o
    View Artical