Knowledge Discovery from Graphs (Invited Talk) Jensen, David
(2001) Knowledge Discovery from Graphs (Invited Talk). In: Graph
Drawing 8th International Symposium, GD 2000, September 20–23,
2000, Colonial Williamsburg, VA, USA , p. 170 (Official URL:
http://dx.doi.org/10.1007/3-540-44541-2_16). Full text not
available from this repository. Knowledge discovery is the
process of discovering useful and previously unknown knowledge
by analyzing large databases. Knowledge discovery is also
sometimes called "data mining" or "applied machine learning." A
new generation of knowledge discovery tools are beginning to
address data that can be expressed as large graphs. Example
applications include fraud detection in telecommunication
networks and classifying Web pages based on hyperlink structure.
These new technologies for knowledge discovery are becoming
increasingly relevant to graph drawing. Specifically, graph
drawing can aid the process of knowledge discovery by providing
visualizations that reveal useful patterns