Prediction of Financial Performance using Genetic Algorithm and Association Rule Mining

AWARDED
Bids
6
Avg Bid (INR)
3750
Project Budget (INR)
₹1500 - ₹5000

Project Description:
The proposed system introduces a new genetic algorithm for prediction of financial performance with input data sets from a financial domain. The goal is to produce a GA-based methodology that builds an associative classifier from numerical data. However, since issues may differ when dealing with various types of numerical data, this work restricts the numerical data to stock trading data.

Along with genetic algorithm association rule mining algorithm is used for generation of association rules among the various Technical Indicators. These Association Rules are given as an input to the optimized output obtained from the genetic algorithm. The outcome of the above approach is being applied to a classification process in order to predict the class of the new inputs.

The proposed idea in the project is to offer an efficient genetic algorithm in combination with the association rule mining algorithm which produces stock market forecasts.

Skills required:
Java
About the employer:
Verified
Public Clarification Board
Bids are hidden by the project creator. Log in as the employer to view bids or to bid on this project.
You will not be able to bid on this project if you are not qualified in one of the job categories. To see your qualifications click here.


Hire JavaGuruLV
₹ 3000
in 5 days
₹ 4500
in 90 days
Hire vanpham
₹ 2000
in 10 days
Hire ajaychaudhary77
₹ 4000
in 10 days
₹ 5000
in 10 days
Hire parul1248
₹ 4000
in 7 days