An Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Research Paper | Computer Science & Engineering | India | Volume 3 Issue 10, October 2014

An Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem

K. Sasikala, Dr. V. Anuratha

In this work, cost-free learning (CFL) formally defined in comparison with cost-sensitive learning (CSL). The primary difference between them is that even in the class imbalance problem, a CFL approach provides optimal classification results without requiring any cost information. In point of fact, several CFL approaches exist in the related studies like sampling and some criteria-based approaches. Yet, to our best knowledge none of the existing CFL and CSL approaches is able to process the abstaining classifications properly when no information is given about errors and rejects. Hence based on information theory, here we propose a novel CFL which seeks to maximize normalized mutual information of the targets and the decision outputs of classifiers. With the help of this strategy, we can manage binary or multi-class classifications with or without refraining. Important features are observed from the new strategy. When the degree of class imbalance is changing, this proposed strategy could able to balance the errors and rejects accordingly and automatically. A wrapper paradigm of proposed ABC-SVM (Artificial Bee Colony-SVM) is oriented on the evaluation measure of imbalanced dataset as objective function with respect to feature subset, misclassification cost and intrinsic parameters of SVM. The main goal of cost free ABC-SVM is to directly improve the performance of classification by simultaneously optimizing the best pair of intrinsic parameters, feature subset and misclassification cost parameters. The obtained experimental results on various standard benchmark datasets and real-world data with different ratios of imbalance show that the proposed method is effective in comparison with commonly used sampling techniques.

Keywords: Classification, Class Imbalance, Cost-Free Learning, Cost-Sensitive Learning, artificial bee colony algorithm, Support vector machine

Edition: Volume 3 Issue 10, October 2014

Pages: 184 - 189

Share this Article

How to Cite this Article?

K. Sasikala, Dr. V. Anuratha, "An Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SEP14694, Volume 3 Issue 10, October 2014, 184 - 189

60 PDF Views | 47 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Classification'

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1888 - 1890

Spammer Detection and Identification on Social Network Using Machine Learning

Dr. Shameem Akhter, Noorain Saba

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1472 - 1476

Performance Analysis of Diabetes Prediction by using different Machine Learning Algorithms

Aakash Singh

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1907 - 1913

Human Gait Recognition Using Multisvm Classifier

Saranya Sasidharan, Smitha K S, Minu Thomas

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015

Pages: 1869 - 1872

A Technique to Combine Feature Selection with Instance Selection for Effective Bug Triage

Suvarna Kale, Ajay Kumar Gupta

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1642 - 1643

A Survey Paper on Various Encryption & Data Hiding Methods for Video Streams

Shrutika S. Giradkar, Antara Bhattacharya

Share this Article

Similar Articles with Keyword 'Class Imbalance'

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015

Pages: 1715 - 1717

Survey Paper on Fault Detection in Sensor Data

Vidya D. Omase, Jyoti N. Nandimath

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 184 - 189

An Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem

K. Sasikala, Dr. V. Anuratha

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015

Pages: 157 - 160

Cost-Sensitive Boosting Networks for Data Defect Prediction

Liya A Asharaf, Vini Vijayan

Share this Article

Similar Articles with Keyword 'Cost-Sensitive Learning'

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 184 - 189

An Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem

K. Sasikala, Dr. V. Anuratha

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015

Pages: 157 - 160

Cost-Sensitive Boosting Networks for Data Defect Prediction

Liya A Asharaf, Vini Vijayan

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015

Pages: 527 - 529

Knowledge Transfer Using Cost Sensitive Online Learning Classification

Dhanashree M. Patil, R. N. Phursule

Share this Article

Similar Articles with Keyword 'artificial bee colony algorithm'

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 8, August 2015

Pages: 1717 - 1722

Weighted Sentiment Analysis Using Artificial Bee Colony Algorithm

Ruby Dhurve, Megha Seth

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 2 Issue 4, April 2013

Pages: 99 - 103

Dynamic Deployment of Wireless Sensor Networks using Enhanced Artificial Bee Colony Algorithm

Vibin M Valsalan

Share this Article

Research Paper, Computer Science & Engineering, Bangladesh, Volume 4 Issue 7, July 2015

Pages: 1339 - 1344

Explorative Artificial Bee Colony Algorithm: A Novel Swarm Intelligence Based Algorithm for Continuous Function Optimization

Shifat Sharmin Shapla, H. M. Zabir Haque, Mohammad Shafiul Alam

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 2 Issue 6, June 2013

Pages: 261 - 264

An Improved ABC Algorithm for Optimal Path Planning

Priyanka Goel, Devendra Singh

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 184 - 189

An Optimized Cost-Free Learning Using ABC-SVM Approach in the Class Imbalance Problem

K. Sasikala, Dr. V. Anuratha

Share this Article

Similar Articles with Keyword 'Support vector machine'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 9, September 2020

Pages: 759 - 761

Empirical Study of Fake Reviews Detection of Online Reviews from E-Commerce Website

Phani K. Cheruku, Atul Kumar

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1472 - 1476

Performance Analysis of Diabetes Prediction by using different Machine Learning Algorithms

Aakash Singh

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1358 - 1366

Quality Prediction of Red Wine based on Different Feature Sets Using Machine Learning Techniques

Nikita Sharma

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 1984 - 1987

Automatic VOE Techniques using CRF and Visual Saliency Method

Dr. Swathi. K, Sivabalan.T, Vijayanathan.R

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015

Pages: 2037 - 2039

Traffic Detection Using Tweets on Twitter Social Network

Supriya Bhosale, Sucheta Kokate

Share this Article
Top