Peruttu

Disretization Preprocessing within Rough Set & NN classifier

Description

This project is about preprocessing method in data mining using machine learning knowledge. I m trying to use C++ programming since the basic coding of the three algorithms which used to do discretization is in C++. The three algorithms are Equal Frequency Binning, Ent-MDLP and Boolean Reasoning. I m using all these 3 methods to enhance learning process through two classifiers. Those two classifiers are Rough Set and Neural Network Classifiers. This project is to determine which classifier is better within the three algorithms. Which algorithm is more accurate and better to be used in which classifier? Willing to pay USD 100. Anyone interested please mail me for more details. I will able to give more description.

Taidot: C-ohjelmointi

Näytä lisää: data disretization, using algorithms, use algorithms programming, set algorithm, learning basic programming, learning algorithms programming, data mining process, programming boolean, boolean programming, all algorithms, algorithm set, algorithm coding, about algorithms, rough, reasoning, nn, neural , neural network, learning network, frequency, ent, data mining using, boolean, programming data mining, set within

About the Employer:
( 0 reviews ) johor bahru, Malaysia

Projektin tunnus: #507313

5 freelanceria on tarjonnut keskimäärin 100 $ tähän työhön

maxter6

Check your PM please. Thanks.

100 $ USD 20 päivässä
(1 arvostelu)
1.4
jaanprateek

We can deliver it on time. please see PMB

100 $ USD 40 päivässä
(0 arvostelua)
0.0
freelanact

I am interested. Pls get back to me.

100 $ USD 30 päivässä
(0 arvostelua)
0.0
Alex1005

I already have the concept of Rough Set and Neutural Network. Only need material of the three algorithm, I will get the job done.

100 $ USD 20 päivässä
(0 arvostelua)
0.0
SilverStar18

I am willing to complete it successfully.

100 $ USD 5 päivässä
(1 arvostelu)
0.0