Clustering Techniques for Grouping Traffic Events [chapter]

Bentham Science Publisher Bentham Science Publisher
2012 Mechatronics Series I - Intelligent Transportation Vehicles  
We enhance existing and introduce new social network privacy management models and that we live their human effects. First, we tend to introduce a mechanism exploitation tried cluster techniques that assists users in grouping their friends for ancient group-based mostly policy management approaches. we tend to found measurable agreement between clusters and user-defined relationship teams. Second, we tend to introduce a replacement privacy management model that leverages users' memory and
more » ... n of their friends (called example friends) to line policies for different similar friends. Finally, we tend to explore completely different techniques that aid users in choosing example friends. we tend to found that by associating policy temples with example friends (versus cluster labels), users author policies a lot of expeditiously and have improved perceptions over ancient groupbased policy management approaches. additionally, our results show that privacy management models may be additional increased by utilizing user privacy sentiment for mass customization. By police work user privacy sentiment (i.e., AN unconcerned user, a pragmatist or a fundamentalist), privacy management models may be mechanically tailored specific to the privacy sentiment and desires of the user.
doi:10.2174/978160805081911101010088 fatcat:733vizpe6fdlfaorultz7asx6u