As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
EPFC (Emerging Patterns in Food Complaints) is the analytical component of the Consumer Complaint Monitoring System, designed to help the food safety officials to efficiently and ...
Artur Dubrawski, Kimberly Elenberg, Andrew W. Moor...
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...