e-DMDAV: A new privacy preserving algorithm for wearable enterprise information systems

Mathematically optimized, recursive prepartitioning strategies for k-anonymous microaggregation of large-scale datasets

“…In fact, many of these works refer to MDAV not only as a standard method (or the most widely used) for microaggregation (Templ (2017); Mahmood et al (2012)) and use it as a baseline for comparison purposes (Sun et al (2012); Mortazavi & Jalili (2017)), but also recommend it due to its efficiency and performance (Templ et al (2014)) in terms of the resulting data utility. Even in recent years, MDAV is used as the baseline to find new and improved microaggregation approaches (Iftikhar et al (2019); Salas & Torra (2018); Liu et al (2018); Fayyoumi & Nofal (2018); Wei et al (2018); Zhang et al (2018)).…”