封面圖片

A new classifier based on combination of genetic programming and support vector machine in solving imbalanced classification problem

In supervised learning, class imbalanced data set is a state where the class distribution is not uniform among the classes. Many classifiers fail to properly identify pattern that belongs to minority class due to most of those classifiers are built in order to minimize error rate. Hence, a biased...

Saved in:

書目詳細資料
主要作者:	Mohd Pozi, Muhammad Syafiq
格式:	Thesis
語言:	English
出版:	2016
在線閱讀:	http://psasir.upm.edu.my/id/eprint/69313/1/FSKTM%202016%204%20IR.pdf http://psasir.upm.edu.my/id/eprint/69313/
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Support vector machine for solving imbalanced dataset problem
由: Mohd. Khairuddin, Ismail
出版: (2012)

A new classification model for a class imbalanced data set using genetic programming and support vector machines: case study for wilt disease classification
由: Mohd Pozi, Muhammad Syafiq, et al.
出版: (2015)

SVGPM: evolving SVM decision function by using genetic programming to solve imbalanced classification problem
由: Mohd Pozi, Muhammad Syafiq, et al.
出版: (2022)

A probabilistic classifier for imbalanced dataset problems
由: Lai, Yee Yang
出版: (2012)

Enhancement of new smooth support vector machines for classification problems
由: Santi Wulan, Purnami
出版: (2011)

Hybrid artificial neural network-naive bayes classifier for solving imbalanced dataset problems
由: Adam, Asrul
出版: (2012)

A hybrid genetic algorithm and support vector machine classifier for feature selection and classification of gene expression
由: Tan Ah Chik @ Mohamad, Mohd. Saberi
出版: (2005)

Support vector machine for solving small dataset problem
由: Abdul Rahman, Ahmad Rijal
出版: (2012)

Robust arrhythmia classifier using wavelet transform and support vector machine classification
由: Chia, Nyoke Goon, et al.
出版: (2017)

Artificial neural network — Naïve bayes fusion for solving classification problem of imbalanced dataset
由: Adam, A., et al.
出版: (2011)

Vehicle logo classification using bag of word descriptor and support vector machine classifier
由: Ng, Jia Phui
出版: (2019)

Improving anomalous rare attack detection rate for intrusion detection system using support vector machine and genetic programming
由: Mohd Pozi, Muhammad Syafiq, et al.
出版: (2016)

Development of a hybrid artificial neural network - naive bayes classifier for binary classification problem of imbalanced datasets
由: Adam, Asrul, et al.
出版: (2011)

Development of a hybrid artificial neural network - ive bayes classifier for biry classification problem of imbalanced datasets
由: Adam, Asrul, et al.
出版: (2011)

Solving classification problem using ensemble binarization classifier
由: Zainudin, Muhammad Noorazlan Shah, et al.
出版: (2018)

Experimental study of support vector machines and Naïve Bayes classifier on automated subject area classification
由: Hossain, Rajan, et al.
出版: (2017)

EEG-based emotion classification using wavelet based features and support vector machine classifier
由: M. Razali, Normasliza
出版: (2015)

Combined support vector machine and pattern matching for hadith question classification system
由: Ali Muttaleb, Hasan, et al.
出版: (2018)

A multiple input probabilistic classifier for imbalanced dataset problem in semiconductor manufacturing
由: Lim, Chun Chew, et al.
出版: (2011)

Ensemble classifier and resampling for imbalanced multiclass learning
由: Sainin, Mohd Shamrie, et al.
出版: (2015)

Classification and regression analysis using support vector machine for classifying and locating faults in a distribution system
由: Gururajapathy, Sophi Shilpa, et al.
出版: (2018)

A direct ensemble classifier for imbalanced multiclass learning
由: Sainin, Mohd Shamrie, et al.
出版: (2012)

Performance improvement of poem genre classification using a combination of SMOTE and support vector machine
由: Quratu Aini, Quratu Aini, et al.
出版: (2023)

Fingerprint classification using Support Vector Machine
由: Alias, N. A., et al.
出版: (2016)

Fingerprint classification using support vector machine
由: Ho, Kah Weng
出版: (2020)

Solving Support Vector Machine Model Selection Problem Using Continuous Ant Colony Optimization
由: Alwan, Hiba Basim, et al.
出版: (2013)

A direct ensemble classifier for learning imbalanced multiclass data
由: Samry @ Mohd Shamrie Sainin
出版: (2013)

Support directional shifting vector: A direction based machine learning classifier
由: Kowsher, Md., et al.
出版: (2021)

MRI brain classification using support vector machine
由: Othman, Mohd. Fauzi, et al.
出版: (2011)

E-mail classifications using Support Vector machine
由: Ali, Selamat, et al.
出版: (2009)

Application of support vector machine for classification of multispectral data
由: Saiful Bahari, Nurul Iman, et al.
出版: (2014)

Hybridization Of Optimized Support Vector Machine And Artificial Neural Network For The Diabetic Retinopathy Classification Problem
由: Kader, Nur Izzati Ab
出版: (2019)

A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
由: Mohd Dzulkifli, Syarizul Amri
出版: (2021)

A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
由: Mohd Dzulkifli, Syarizul Amri
出版: (2021)

An extended oversampling method for imbalanced Quranic text classification based on a genetic algorithm
由: Arkok, Bassam, et al.
出版: (2023)

Classification of Qur’anic topics based on imbalanced classification
由: Arkok, Bassam, et al.
出版: (2020)

The application of support vector machine in classifying potential archers using bio-mechanical indicators
由: Abdullah, Prof. Madya Dr. Mohamad Razali
出版: (2018)

Analyzing the Effectiveness of Support Vector Machine and Random Forest Classifiers in Delineating the Green Area
由: Nadzri I.F.M., et al.
出版: (2024)

The application of support vector machine in classifying potential archers using bio-mechanical indicators
由: Zahari, Taha, et al.
出版: (2018)

Combine holts winter and support vector machines in forecasting time serie
由: Alfa, Mohammed Salisu
出版: (2013)