2227 search results - page 11 / 446 » Graph Mining based on a Data Partitioning Approach |
104
Voted
COMAD
2009
15 years 1 months ago
2009
The focus of this paper is to develop algorithms and a framework for modeling transactional data stored in relational database into graphs for mining. Most of the real-world trans...
117
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KDD
2001
ACM
16 years 23 days ago
2001
ACM
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
150
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SDM
2008
SIAM
15 years 1 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 ...
135
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SDM
2012
SIAM
13 years 2 months ago
2012
SIAM
A Cyber-Physical System (CPS) integrates physical (i.e., sensor) devices with cyber (i.e., informational) components to form a situation-aware system that responds intelligently t...
113
Voted
KDD
2005
ACM
16 years 23 days ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...