Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
There has been increasing interest in automatic techniques for generating roles for role based access control, a process known as role mining. Most role mining approaches assume t...
Ian Molloy, Ninghui Li, Yuan (Alan) Qi, Jorge Lobo...