• Hemlata
• Dr. Dinesh Kumar

In current era there are large number of applications which are producing large amount of multimedia data. The collected data can be processed to generated a well represented format. So that analyzed data can be used in various types of decision making purposes. In current time various data mining techniques are in existence where useful data can be extracted from the existing repository. The collected data can prevail with various discrepancies. Like imbalanced classification. The data once will be segregated or sub divided into multiple classes each class has imbalance of the data stream. Like Airlines data of on time and late flights. The data in late class is substantially lower than the on time flights. This misclassification can lead towards the poor analysis. For proper analysis the balancing of the data classification is required most. Over sampling technique is the best technique using which the imbalanced class be balanced using over sampling technique. All the parameters using AUC and G-mean will put best results once data is balanced using oversampling.

Oversampling, Folding, Misclassification

"Imbalanced Data Classification Using oversampling and folding Technique.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.695-699, July-2018, Available :http://www.jetir.org/papers/JETIR1807341.pdf

"Imbalanced Data Classification Using oversampling and folding Technique.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp695-699, July-2018, Available at : http://www.jetir.org/papers/JETIR1807341.pdf