Name
Abstract | ||
|---|---|---|
We describe the ideas and methodologies that we developed in addressing the KDD Cup 2008 on early breast cancer detection, and discuss how they contributed to our success. The most important components of our solution were 1) the identification of predictive information in the patient identifier, 2) a linear SVM on the 117 provided features, and 3) a heuristic post-processing approach to optimize the evaluation criteria. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1540276.1540289 | SIGKDD Explorations |
Keywords | Field | DocType |
kdd cup,patient identifier,heuristic post-processing approach,linear svm,evaluation criterion,breast cancer identification,early breast cancer detection,kdd cup winner,predictive information,important component,breast cancer | Data mining,Heuristic,Breast cancer,Computer science,Patient identifier,Artificial intelligence,Early breast cancer detection,Machine learning,Linear svm | Journal |
Volume | Issue | Citations |
10 | 2 | 6 |
PageRank | References | Authors |
0.92 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudia Perlich | 1 | 523 | 45.01 |
| Prem Melville | 2 | 1518 | 84.77 |
| Yan Liu | 3 | 2551 | 189.16 |
| Grzegorz Świrszcz | 4 | 22 | 2.02 |
| Richard Lawrence | 5 | 90 | 3.69 |
| Saharon Rosset | 6 | 1087 | 105.33 |