CFP last date
20 May 2024
International Journal of Computer Applications
A Publication of Foundation of Computer Science
Scholarly peer reviewed publication
Home
Archives
About Us
The Model
Indexing, Abstracting, and Archiving
Editorial Board
Review Board
Associate Editorial Board
Policy on Publication Ethics
Vision & Mission
Publication Ethics and Malpractice Statement
For Authors
Call for Paper - Submission Open
Topics
Journal Prints
Article Correction Policy
Publishing practices
IJCA Frequently Asked Queries
Authors Self-Archiving Policy
Citation Improvement
Home
Archives
Volume 9
Number 7
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024
Submit your paper
Know more
The week's pick
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity
Twinkle Patel
Kiran Amin
Random Articles
On Rayleigh-Ritz Method in Three-Parameter Eigenvalue Problems
January
2014
To Secure and Compress the Message on Local Area Network
May
2013
RIO: An AI based Virtual Assistant
May
2018
Improved the Prediction of Clinical Data Accuracy using RBF Neural Network Model
Mar
2017
Volume 9
Number 7
Article:A Goal Oriented Approach for the Definition of a Business Process Requirement Model
Authors: Atsa Etoundi Roger , Fouda Ndjodo Marcel , Atouba Christian Lopez
Article:Applying Data Mining to Customer Churn Prediction in an Internet Service Provider
Authors: Afaq Alam Khan , Sanjay Jamwal , M.M.Sepehri
Article:A Model based approach to Implement Cloud Computing in E-Governance
Authors: Dr Ashish Rastogi
Article:Steganography- A Data Hiding Technique
Authors: Arvind Kumar , Km. Pooja
Article:Application of RELUX Software in Simulation and Analysis of Energy Efficient Lighting Scheme
Authors: Shailesh K R , Tanuja S Raikar
Article:Artificial Neural Network Approach for Fault Detection in Pneumatic Valve in Cooler Water Spray System
Authors: P. Subbaraj , B. Kannapiran
Article:Discovering Local Outliers using Dynamic Minimum Spanning Tree with Self-Detection of Best Number of Clusters
Authors: S. John Peter