A Naive Bayesian Mining Model for Ministry of Food Processing

Authors

  • Rajitha P.R  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

Keywords:

Dashboard, Food Processing, Schemes, Feedback.

Abstract

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.

References

  1. Michael Alen: “Java2 Complete Edition” pp-0- 7945.
  2. Bill Hamilton “ Programming MySQLpp- 425-455
  3. Charles Hampfed (2000) ‘Instant Java Server Pages’ University of Toronto.
  4. https://www.geeksforgeeks.org/naive-bayes- classifiers/

Downloads

Published

2019-06-07

Issue

Section

Research Articles

How to Cite

[1]
Rajitha P.R, Dr.T.Mahalakshmi, Gopika S Mohan, " A Naive Bayesian Mining Model for Ministry of Food Processing, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 5, Issue 9, pp.89-92, May-2019.