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» Approximation Techniques for Spatial Data
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GIS
1992
ACM
14 years 1 months ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
CODES
2005
IEEE
14 years 2 months ago
Spatial division multiplexing: a novel approach for guaranteed throughput on NoCs
To ensure low power consumption while maintaining flexibility and performance, future Systems-on-Chip (SoC) will combine several types of processor cores and data memory units of...
Anthony Leroy, Paul Marchal, Adelina Shickova, Fra...
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
14 years 28 days ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 9 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
PKDD
2001
Springer
104views Data Mining» more  PKDD 2001»
14 years 1 months ago
Data Reduction Using Multiple Models Integration
Large amount of available information does not necessarily imply that induction algorithms must use all this information. Samples often provide the same accuracy with less computat...
Aleksandar Lazarevic, Zoran Obradovic