Friday 29th of March 2024
 

A Review on Class Imbalance Problem: Analysis and Potential Solutions


Satyam Maheshwari, R C Jain and R S Jadon

The Imbalanced class problem is a recent challenge in data mining. A dataset is said to be imbalance when their classification categories are not properly mentioned, and the class which has fewer instances as compare to other classes is of more interest from the point of view of the learning task. Here we study about the various factors that influence the datasets and leads to imbalance the dataset like as Features selection, classification of imbalance datasets. Here in this paper, we also discussed about the various sampling methods utilize for dataset balancing and for getting measurable performance.

Keywords: Imbalanced classification, Preprocessing, Feature selection, Cost-sensitive learning, Ensemble learning.

Download Full-Text


ABOUT THE AUTHORS

Satyam Maheshwari
Department of Computer Applications SATI, Vidisha, India

R C Jain
Ex-Director SATI, Vidisha, India

R S Jadon
Professor & Head, Department of Computer Applications MITS, Gwalior, India


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »