Abstract
Application forms are often used to collect personal information, and subsequently to tailor these services to the applicant's specific situation. The data collected must be reduced to a minimum size in order to serve the objective process. However, no technique exists today to minimize information used by complex decision processes based on classifiers. In this article, we extend our previous results by presenting the generalized Minimum Exposure problem. We show that this problem is NP-hard and discuss its resolution. Experiments show a big reduction in data transmitted by using our technique.
| Translated title of the contribution | Exposition minimum de données pour des applications à base de classifieurs |
|---|---|
| Original language | English |
| Pages (from-to) | 59-85 |
| Number of pages | 27 |
| Journal | Ingenierie des Systemes d'Information |
| Volume | 18 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Dec 2013 |
Keywords
- Automated form filling
- Limited collection
- Privacy principle
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