We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
Data mining applications analyze large collections of set data and high dimensional categorical data. Search on these data types is not restricted to the classic problems of minin...
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...
We propose a data warehousing architecture for effective risk analysis in a banking scenario. The core of the architecture consists in two data mining tools for improving the qual...
Gianni Costa, Francesco Folino, Antonio Locane, Gi...