Multi-Level Air Quality Classification in China Using Information Gain and Support Vector Machine Hybrid Model
Machine learning and data mining are the two important tools for extracting useful information and knowledge from large datasets. In machine learning, classification is a widely used technique to predict qualitative variables and is generally preferred over regression from an operational point of vi...
Main Author: | Bingchun Liu, Hui Wang, Arihant Binaykia, Chuanchuan Fu and Bingpeng Xiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Technoscience Publications
2019-09-01
|
Series: | Nature Environment and Pollution Technology |
Subjects: | |
Online Access: | http://neptjournal.com/upload-images/NL-69-4-(2)-D-905.pdf |
Similar Items
-
Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification
by: Lingyun Gao, et al.
Published: (2017-12-01) -
Urban air quality forecasting based on multi-dimensional collaborative Support Vector Regression (SVR): A case study of Beijing-Tianjin-Shijiazhuang.
by: Bing-Chun Liu, et al.
Published: (2017-01-01) -
Support Vector Machines for Classification and Imputation
by: Rogers, Spencer David
Published: (2012) -
Support vector machines for classification and regression
by: Shah, Rohan Shiloh.
Published: (2007) -
Ambient Air Quality Classification by Grey Wolf Optimizer Based Support Vector Machine
by: Akash Saxena, et al.
Published: (2017-01-01)