Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
—This paper addresses the problem of identifying the top-k information hubs in a social network. Identifying topk information hubs is crucial for many applications such as advert...
Muhammad Usman Ilyas, Muhammad Zubair Shafiq, Alex...
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Objective: We present an integrated set of technologies, known as the Hippocratic Database, that enable healthcare enterprises to comply with privacy and security laws without imp...
Recently, trajectory data mining has received a lot of attention in both the industry and the academic research. In this paper, we study the privacy threats in trajectory data pub...
Noman Mohammed, Benjamin C. M. Fung, Mourad Debbab...