2065 search results - page 319 / 413 » Techniques of Cluster Algorithms in Data Mining |
123
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SDM
2003
SIAM
15 years 3 months ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
111
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KDD
1999
ACM
15 years 6 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
126
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FLAIRS
2008
15 years 4 months ago
2008
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
203
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SIGMOD
2008
ACM
16 years 2 months ago
2008
ACM
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
113
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IVC
2007
15 years 1 months ago
2007
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...