With the increasing complexity and dynamics of database and information systems, it becomes more and more di cult for administrative personnel to identify, specify and enforce sec...
Christina Yip Chung, Michael Gertz, Karl N. Levitt
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...