1082 search results - page 27 / 217 » Graph Mining using Graph Pattern Profiles |
110
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
82
Voted
IDA
2007
Springer
14 years 9 months ago
2007
Springer
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
90
Voted
GD
2004
Springer
15 years 2 months ago
2004
Springer
Large graphs are difficult to browse and to visually explore. This note adds up evidence that some graph drawing techniques, which produce readable layouts when applied to medium-s...
110
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
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 ...