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IDA
2007
Springer
14 years 9 months ago
Anomaly detection in data represented as graphs
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...
William Eberle, Lawrence B. Holder
CIKM
2008
Springer
14 years 11 months ago
On effective presentation of graph patterns: a structural representative approach
In the past, quite a few fast algorithms have been developed to mine frequent patterns over graph data, with the large spectrum covering many variants of the problem. However, the...
Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han
WG
2010
Springer
14 years 8 months ago
The Number of Bits Needed to Represent a Unit Disk Graph
We prove that for sufficiently large n, there exist unit disk graphs on n vertices such that for every representation with disks in the plane at least c √ n bits are needed to wr...
Colin McDiarmid, Tobias Müller
GPEM
2006
82views more  GPEM 2006»
14 years 9 months ago
Shortcomings with using edge encodings to represent graph structures
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
Gregory Hornby
ICCS
1999
Springer
15 years 1 months ago
Conceptual Structures Represented by Conceptual Graphs and Formal Concept Analysis
Conceptual Graphs and Formal Concept Analysis have in common basic concerns: the focus on conceptual structures, the use of diagrams for supporting communication, the orientation b...
Guy W. Mineau, Gerd Stumme, Rudolf Wille