Kernel Oriented Multivariate Feature Selection for Breast Cancer Data Classification via MRMR Filter

2016 ◽  
Vol 7 (4) ◽  
Author(s):  
Pooja Mehta ◽  
Megha Purohit
Keyword(s):  
Breast Cancer ◽  
Feature Selection ◽  
Data Classification ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Selection For

scholarly journals Domain expertise–agnostic feature selection for the analysis of breast cancer data*

2020 ◽  
Vol 108 ◽  
pp. 101928 ◽  
Author(s):  
Susanna Pozzoli ◽  
Amira Soliman ◽  
Leila Bahri ◽  
Rui Mamede Branca ◽  
Sarunas Girdzijauskas ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Feature Selection ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Domain Expertise ◽  
Selection For

scholarly journals Research of Feature Selection Methods to Predict Breast Cancer

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2353-2355 ◽  
Keyword(s):  
Breast Cancer ◽  
Feature Selection ◽  
Early Stage ◽  
Classification Methods ◽  
Selection Methods ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Cancer Breast ◽  
Data Mining Approach ◽  
The World

Human health is most important than anything in the world, one should take care of it. Among various disease, cancer is the most terrible and deadly disease, so it is necessary to predict such disease in early stage. In this paper different feature selection methods used for feature extraction with different feature classification methods to identify the breast cancer. Breast cancer data is taken from UCI repository and is processed using WEKA tool and proposed techniques are applied to classify data accurately. This study well defines that data mining approach is suitable for predicting breast cancer.

Unbalanced breast cancer data classification using novel fitness functions in genetic programming

2020 ◽  
Vol 140 ◽  
pp. 112866 ◽  
Author(s):  
Divyaansh Devarriya ◽  
Cairo Gulati ◽  
Vidhi Mansharamani ◽  
Aditi Sakalle ◽  
Arpit Bhardwaj
Keyword(s):  
Breast Cancer ◽  
Genetic Programming ◽  
Data Classification ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Fitness Functions
Sign in / Sign up

Export Citation Format

Share Document