A Hybrid Method for Fast Finding the Reduct with the Best Classification Accuracy
Usually a dataset has a lot of reducts finding all of which is known to be an NP hard problem. On the other hand, different reducts of a dataset may provide different classification accuracies. Usually, for every dataset, there is only a reduct with the best classification accuracy to obtain this...
Main Authors: | KAHRAMANLI, S., ARSLAN, A., HACIBEYOGLU, M. |
---|---|
Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2013-11-01
|
Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2013.04010 |
Similar Items
-
Improving classification accuracy using clustering technique
by: Janor, R.M, et al.
Published: (2018) -
A Novel Summarization-based Approach for Feature Reduction Enhancing Text Classification Accuracy
by: S. Rahamat Basha, et al.
Published: (2019-12-01) -
Feature Reduction for Power System Transient Stability Assessment Based on Neighborhood Rough Set and Discernibility Matrix
by: Bingyang Li, et al.
Published: (2018-01-01) -
An Algorithm on the Parameter Reduction of Soft Sets
by: Ning-Xin Xie
Published: (2016-06-01) -
AN INTELLIGENT FEATURE SELECTION AND CLASSIFICATION METHOD BASED ON HYBRID ABC–SVM
by: Jie Li, et al.
Published: (2016-12-01)