To release micro-data tables containing sensitive data, generalization algorithms are usually required for satisfying given privacy properties, such as k-anonymity and l-diversity....
Lei Zhang 0004, Lingyu Wang, Sushil Jajodia, Alexa...
Compared to all emerging issues, privacy is probably the most prominent concern when it comes to judging the effects of a wide spread deployment of ubiquitous computing. On one ha...
In recent years, it has become important for researchers, security incident responders and educators to share network logs, and many log anonymization tools and techniques have be...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Abstract. Temporal data are abundantly present in many application domains such as banking, financial, clinical, geographical applications and so on. Temporal data have been extens...