Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
With more and more large networks becoming available, mining and querying such networks are increasingly important tasks which are not being supported by database models and query...
The Web contains an abundance of useful semi-structured information that can and should be mined. Types of structure include hyperlinks between pages, structure within hypertext p...
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...