Novel Approach for Classification On Imbalanced Dataset
Abstract & Details
Research Area
Computer Engineering
Keywords
Imbalanced Data
undersampling
oversampling
cost-sensitive approach
algorithm level approach
HC-knn
Abstract
Real world application suffers from imbalanced dataset. There have been many attempts at dealing with classification of imbalanced data sets. Classification of imbalanced dataset is an evoloving trend in research area of data mining. we can categorise classification methods in three categories as data-level approach ,algorithm level approach and cost sensitive approach.Data level approach mainly synthesize or remove instances to force the sizes of each class comparable, which may change the inherent data structure or introduces noise to the source data . In this paper we have studied algorithm level approach Hybrid Coupled K Nearest Neioghbours and have work on improving its performance .Results show that our proposed method weighted HC-Knn gives better performance compared to HC-knn.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Amee Rajan | Kalol Institute Of Technology & Research centre |
| 2 | Chetna Chand | Kalol Institute Of Technology & Research centre |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Rajan, Amee & Chand, Chetna (2016). Novel Approach for Classification On Imbalanced Dataset. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 2403-2509.
MLA Style
Rajan, Amee, and Chetna Chand. "Novel Approach for Classification On Imbalanced Dataset." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 2403-2509.
IEEE Style
Amee Rajan and Chetna Chand, "Novel Approach for Classification On Imbalanced Dataset," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 2403-2509, 2016.
Vancouver Style
Rajan Amee, Chand Chetna. Novel Approach for Classification On Imbalanced Dataset. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):2403-2509.
Harvard Style
Rajan, Amee & Chand, Chetna (2016) 'Novel Approach for Classification On Imbalanced Dataset', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 2403-2509.
Chicago Style
Rajan, Amee and Chetna Chand. "Novel Approach for Classification On Imbalanced Dataset." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 2403-2509.
Turabian Style
Rajan, Amee and Chetna Chand. "Novel Approach for Classification On Imbalanced Dataset." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 2403-2509.
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