Manuscript Number : IJSRSET195915
A Naive Bayesian Mining Model for Ministry of Food Processing
Authors(3) :-Rajitha P.R, Dr.T.Mahalakshmi, Gopika S Mohan
The proposed system tries to solve the problems of recording the data about the food schemes available. The main objective is to make the investors details more efficient and effective. The investor can provide different schemes to employees and the employees can decide whether to accept it or not. They can also provide feedback for employees about their work done as part of their scheme. Initially, the system will be implemented offline that means the data’s are recorded manually and later on, be interlinked so that a employees and investors can access information across all food schemes in the state thus helping speedy and successful completion to work updated. The project has been planned to be having the view of distributed architecture, with centralized storage of the database. The application for the storage of the data has been planned. Using the constructs of SQL server and all the user interfaces have been designed using the Java Jsp technology.
Rajitha P.R
Dashboard, Food Processing, Schemes, Feedback.
Publication Details
Published in :
Volume 5 | Issue 9 | May 2019 Article Preview
Associate Professor, Sree Narayana Institute of Technology, Kerala, India
Dr.T.Mahalakshmi
Principal, Sree Narayana Institute of Technology , Kerala, India
Gopika S Mohan
Master of Computer Applications, Sree Narayana Institute of Technology Vadakkevila, Kollam, Kerala, India
Date of Publication :
2019-06-07
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
89-92
Manuscript Number :
IJSRSET195915
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET195915