Improving semi-supervised fuzzy c-means classification of Breast Cancer data using feature selection

2013 ◽  
Author(s):  
Daphne Teck Ching Lai ◽  
Jonathan M. Garibaldi
Keyword(s):  
Breast Cancer ◽  
Feature Selection ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Fuzzy C Means

A Predictive Model for Classification of Breast Cancer Data Sets

2021 ◽  
pp. 389-403
Author(s):  
S. Venkata Achuta Rao ◽  
Pamarthi Rama Koteswara Rao
Keyword(s):  
Breast Cancer ◽  
Predictive Model ◽  
Data Sets ◽  
Breast Cancer Data ◽  
Cancer Data

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.

Intelligent System for Early Detection and Classification of Breast Cancer: Data Driven Learning

2020 ◽  
pp. 593-605
Author(s):  
Praveen Kokkerapati ◽  
Abeer Alsadoon ◽  
SMN Arosha Senanayake ◽  
P. W. C. Prasad ◽  
Abdul Ghani Naim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Intelligent System ◽  
Data Driven ◽  
Breast Cancer Data ◽  
Cancer Data
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