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127
Voted
CIKM
2004
Springer
15 years 10 months ago
2004
Springer
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
108
Voted
ICDM
2003
IEEE
15 years 9 months ago
2003
IEEE
Discovering underlying structure from co-occurrence data is an important task in a variety of fields, including: insurance, intelligence, criminal investigation, epidemiology, hu...
135
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ADBIS
2004
Springer
15 years 10 months ago
2004
Springer
Many geographical applications deal with spatial objects that cannot be adequately described by determinate, crisp concepts because of their intrinsically indeterminate and vague n...
139
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ACSW
2004
15 years 6 months ago
2004
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
139
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VISSYM
2003
15 years 5 months ago
2003
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...