The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledgeinlargerelationaldatabases and data warehouses. The system implements a wide sp...
Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jia...
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
The real usability of data stream systems depends on the practical aspect of building applications on data streams. In this demo we show two possible applications on data streams,...
Michael Duller, Rokas Tamosevicius, Gustavo Alonso...