The tremendous number of rules generated in the mining process makes it necessary for
any good data mining system to provide for powerful query primitives to post-process the …

Association-rule mining has proved a highly successful technique for extracting useful
information from very large databases. This success is attributed not only to the …

The emerging data mining tools and systems lead naturally to the demand of a powerful
data mining query language, on top of which many interactive and exible graphical user …

We discuss the use of database met hods for data mining. Recently impressive results have
been achieved for some data mining problems using highly specialized and clever data …

Data mining, or knowledge discovery in databases, has been popularly recognized as an
important research issue with broad applications. We provide a comprehensive survey, in …

The general idea of discovering knowledge in large amounts of data is both appealing and
intuitive. Typically we focus our attention on learning algorithms, which provide the core …

Data mining on large data warehouses is becoming increasingly important. In support of this
trend, we consider a spectrum of architectural alternatives for coupling mining with database …

Constraint-based rule miners find all rules in a given data-set meeting user-specified
constraints such as minimum support and confidence. We describe a new algorithm that …

Data mining on large data warehouses is becoming increasingly important. In support of this
trend, we consider a spectrum of architectural alternatives for coupling mining with database …

The growth in the amount of available databases far outstrips the growth of corresponding
knowledge. This creates both a need and an opportunity for extracting knowledge from …