Description
| Title | The impact of advanced preprocessing methods for the prediction of cancer |
| Abstract | I will discuss various methods of preprocessing data and their impact on the performance of standard data mining algorithms. The methods are explored in the context of predicting the occurrence of colorectal cancer using a medical dataset containing 500.000 Dutch citizens. The discussed preprocessing methods include simple aggregation, the analysis of trends, temporal pattern mining, and semantic enrichment. |
Other presentations by Reinier Kop
| Date | Title |
|---|---|
| 16 March 2015 | The impact of advanced preprocessing methods for the prediction of cancer |