1976 search results - page 101 / 396 » Predictive Graph Mining |
INCDM
2007
Springer
14 years 3 months ago
2007
Springer
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
PKDD
2004
Springer
14 years 2 months ago
2004
Springer
Attribute noise can affect classification learning. Previous work in handling attribute noise has focused on those predictable attributes that can be predicted by the class and o...
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
This paper aims at presenting how natural language processing and machine learning techniques can help the internet surfer to get a better overview of the pages he is reading. The ...
PAKDD
2010
ACM
14 years 1 months ago
2010
ACM
We present a novel graph ranking model to extract a diverse set of answers for complex questions via random walks over a negative-edge graph. We assign a negative sign to edge weig...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...