4972 search results - page 177 / 995 » Ranking on graph data |
179
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GD
2006
Springer
15 years 10 months ago
2006
Springer
We present a novel sampling-based approximation technique for classical multidimensional scaling that yields an extremely fast layout algorithm suitable even for very large graphs....
171
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ICDM
2006
IEEE
16 years 19 days ago
2006
IEEE
Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowl...
185
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
194
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
We design lifting-based wavelet transforms for any arbitrary communication graph in a wireless sensor network (WSN). Since transmitting raw data bits along the routing trees in WS...
160
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ADMA
2005
Springer
16 years 4 days ago
2005
Springer
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...