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» Graph Mining using Graph Pattern Profiles
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126
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INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
15 years 1 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
109
Voted
CI
1998
78views more  CI 1998»
15 years 2 months ago
Pattern Databases
A pattern database is a lookup table that stores an exact evaluation function for a relaxed search problem, which provides an admissible heuristic for the original search problem....
Joseph C. Culberson, Jonathan Schaeffer
ICDE
2010
IEEE
399views Database» more  ICDE 2010»
15 years 9 months ago
Discovery-driven graph summarization
Abstract— Large graph datasets are ubiquitous in many domains, including social networking and biology. Graph summarization techniques are crucial in such domains as they can ass...
Ning Zhang, Yuanyuan Tian, Jignesh M. Patel
134
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ISPASS
2009
IEEE
15 years 9 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
105
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KDD
2003
ACM
155views Data Mining» more  KDD 2003»
16 years 3 months ago
Graph-based anomaly detection
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
Caleb C. Noble, Diane J. Cook