Within industrial contexts, a common view of the level of confidence needed in CAD data transfer processes may be expressed as “1 don’t mind if the [CAD data- tmnsfer] algorit...
Thomas J. Peters, Neil F. Stewart, David R. Fergus...
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering ...
The major objective of the Spectral Analysis Automation (SAA) work is to develop an agent-based system that is capable of filtering spectral analysis data and making the selected ...
Existing techniques to mine periodic patterns in time series data are focused on discovering full-cycle periodic patterns from an entire time series. However, many useful partial ...
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...