1976 search results - page 33 / 396 » Predictive Graph Mining |
SIGKDD
2008
13 years 7 months ago
2008
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
IPMU
2010
Springer
13 years 9 months ago
2010
Springer
We define and study the link prediction problem in bipartite networks, specializing general link prediction algorithms to the bipartite case. In a graph, a link prediction functio...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...