Although, many organisations have implemented technical solutions to protect information resources from adverse events, internal security breaches continue to occur. Therefore an ...
stract This panel addresses a very important area that is often neglected or overlooked by database systems, database applications developers and data warehouse designers, namely s...
The problem of privacy-preserving data mining has been studied extensively in recent years because of the increased amount of personal information which is available to corporation...
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...