Minimum explosure in application form relying on a classification processes

Research output: Contribution to journalArticlepeer-review

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 contributionExposition minimum de données pour des applications à base de classifieurs
Original languageEnglish
Pages (from-to)59-85
Number of pages27
JournalIngenierie des Systemes d'Information
Volume18
Issue number4
DOIs
Publication statusPublished - 1 Dec 2013

Keywords

  • Automated form filling
  • Limited collection
  • Privacy principle

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