Classification Algorithm Based on Feature Selection and Samples Selection

2009 ◽  
pp. 631-638 ◽  
Author(s):  
Yitian Xu ◽  
Ling Zhen ◽  
Liming Yang ◽  
Laisheng Wang
Keyword(s):  
Feature Selection ◽  
Classification Algorithm ◽  
Samples Selection

scholarly journals A Review on Time-domain Peak Detection and Classification Algorithms for Electroencephalogram Signals

Mekatronika ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 115-121
Author(s):  
Asrul Adam ◽  
Ammar Faiz Zainal Abidin ◽  
Zulkifli Md Yusof ◽  
Norrima Mokhtar ◽  
Mohd Ibrahim Shapiai
Keyword(s):  
Feature Selection ◽  
Time Domain ◽  
Time Domain Analysis ◽  
Domain Analysis ◽  
Peak Detection ◽  
Classification Algorithm ◽  
Classification Algorithms ◽  
Classification Methods ◽  
Eeg Signals ◽  
Selection Algorithms

In this paper, the developments in the field of EEG signals peaks detection and classification methods based on time-domain analysis have been discussed. The use of peak classification algorithm has end up the most significant approach in several applications. Generally, the peaks detection and classification algorithm is a first step in detecting any event-related for the variation of signals. A review based on the variety of peak models on their respective classification methods and applications have been investigated. In addition, this paper also discusses on the existing feature selection algorithms in the field of peaks classification.

Classification of bread wheat flours in different quality categories by a wavelet-based feature selection/classification algorithm on NIR spectra

2005 ◽  
Vol 544 (1-2) ◽  
pp. 100-107 ◽  
Author(s):  
Marina Cocchi ◽  
Maria Corbellini ◽  
Giorgia Foca ◽  
Mara Lucisano ◽  
M. Ambrogina Pagani ◽  
...  
Keyword(s):  
Feature Selection ◽  
Bread Wheat ◽  
Classification Algorithm ◽  
Wheat Flours ◽  
Quality Categories

scholarly journals A Cardiotocographic Classification using Feature Selection: A comparative Study

2021 ◽  
Vol 5 (01) ◽  
pp. 25-32
Author(s):  
Septian Eko Prasetyo ◽  
Pulung Hendro Prastyo ◽  
Shindy Arti
Keyword(s):  
Feature Selection ◽  
Health Condition ◽  
Classification Algorithm ◽  
Chi Square ◽  
Data Set ◽  
Experimental Scheme ◽  
Uterine Contractions ◽  
Rate Information ◽  
Inspection Process ◽  
Evaluation Matrix

Cardiotocography is a series of inspections to determine the health of the fetus in pregnancy. The inspection process is carried out by recording the baby's heart rate information whether in a healthy condition or contrarily. In addition, uterine contractions are also used to determine the health condition of the fetus. Fetal health is classified into 3 conditions namely normal, suspect, and pathological. This paper was performed to compare a classification algorithm for diagnosing the result of the cardiotocographic inspection. An experimental scheme is performed using feature selection and not using it. CFS Subset Evaluation, Info Gain, and Chi-Square are used to select the best feature which correlated to each other. The data set was obtained from the UCI Machine Learning repository available freely. To find out the performance of the classification algorithm, this study uses an evaluation matrix of precision, Recall, F-Measure, MCC, ROC, PRC, and Accuracy. The results showed that all algorithms can provide fairly good classification. However, the combination of the Random Forest algorithm and the Info Gain Feature Selection gives the best results with an accuracy of 93.74%.

Arrhythmia Classification Algorithm based on SMOTE and Feature Selection

2021 ◽  
Vol 17 (3) ◽  
pp. 263
Author(s):  
Tianhao Wang ◽  
Peng Chen ◽  
Tianjiazhi Bao ◽  
Jiaheng Li ◽  
Xiaosheng Yu
Keyword(s):  
Feature Selection ◽  
Classification Algorithm

An Effective Classification Algorithm for Heart Disease Prediction with Genetic Algorithm for Feature Selection

2021 ◽  
Author(s):  
Samina Kanwal ◽  
Junaid Rashid ◽  
Muhammad Wasif Nisar ◽  
Jungeun Kim ◽  
Amir Hussain
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
Heart Disease ◽  
Classification Algorithm ◽  
Disease Prediction
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