We present a new class of statistical deanonymization attacks against high-dimensional micro-data, such as individual preferences, recommendations, transaction records and so on. ...
Abstract. This paper describes an integrated system to support medical consultations, in particular low vision consultation. In emerging domains where the population is reduced (su...
Over the past decade, there has been a lot of work in developing middleware for integrating and automating enterprise business processes. Today, with the growth in e-commerce and ...
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...