In smart item environments, multitude of sensors are applied to capture data about product conditions and usage to guide business decisions as well as production automation proces...
Anja Klein, Hong Hai Do, Gregor Hackenbroich, Marc...
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
We describe a digital library that contains streams and supports event-based retrieval. Streams used in the digital library are CT scan, medical text, and audio streams. Events, s...
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...