Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
This paper presents an approach to clustering, tracking and recognizing footprints of a single subject from pressure data obtained using a pressure sensing floor. The proposed met...
Abstract. Database systems have been vital for all forms of data processing for a long time. In recent years, the amount of processed data has been growing dramatically, even in sm...
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...