Name
Abstract | ||
|---|---|---|
•Here Dispersion Ratio is proposed to identify splitting attribute in Decision Trees.•The proposed method works for any type of variable: categorical, nominal, continuous.•Efficient discretization method is proposed for continuous features.•Has no bias towards features with more distinct values like many other methods.•Extensive evaluation and analysis is performed on a large number of datasets. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.08.039 | Expert Systems with Applications |
Keywords | Field | DocType |
Data Mining,Decision Tree,Information Gain,Correlation Ratio,Dispersion_Ratio,Classification | Dispersion (optics),Discretization,Data mining,Decision tree,Computer science,Information gain,Decision tree model,Correlation ratio,Information gain ratio | Journal |
Volume | ISSN | Citations |
116 | 0957-4174 | 0 |
PageRank | References | Authors |
0.34 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Smita Roy | 1 | 0 | 0.34 |
| Samrat Mondal | 2 | 100 | 18.02 |
| Asif Ekbal | 3 | 737 | 119.31 |
| Maunendra Sankar Desarkar | 4 | 73 | 14.97 |