Name
Abstract | ||
|---|---|---|
This paper proposes a feature weighting method based on X2 statistical test, to be used in conjunction with a k-NN classifier. Results of empirical experiments conducted using data from several knowledge domains are presented and discussed. Forty four out of forty five conducted experiments favoured the feature weighted approach and are empirical evidence that the proposed weighting process based on X2 is a good weighting strategy |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/FOCI.2007.371516 | Honolulu, HI |
Keywords | Field | DocType |
pattern classification,statistical analysis,feature weighting method,feature-weighted k-nearest neighbor classifier,k-NN classifier,statistical test,Feature Ranking,Feature Selection,Instance-Based Learning | Data mining,Weighting,Instance-based learning,Feature selection,Computer science,Artificial intelligence,Classifier (linguistics),Artificial neural network,Statistical hypothesis testing,k-nearest neighbors algorithm,Pattern recognition,Mutual information,Machine learning | Conference |
ISBN | Citations | PageRank |
1-4244-0703-6 | 6 | 0.50 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego P. Vivencio | 1 | 6 | 0.50 |
| Estevam R. Hruschka Jr. | 2 | 6 | 0.50 |
| Maria Do Carmo Nicoletti | 3 | 6 | 0.50 |
| Edimilson Batista Dos Santos | 4 | 14 | 2.84 |
| Sebastian D. C. de O. Galvão | 5 | 10 | 1.66 |
| Estevam R. Hruschka | 6 | 510 | 44.97 |
| dos Santos, E.B. | 7 | 6 | 0.50 |