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IDA
2007
Springer
15 years 6 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
HOTI
2005
IEEE
16 years 7 days ago
Design of Randomized Multichannel Packet Storage for High Performance Routers
High performance routers require substantial amounts of memory to store packets awaiting transmission, requiring the use of dedicated memory devices with the density and capacity ...
Sailesh Kumar, Patrick Crowley, Jonathan S. Turner
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
15 years 10 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
KDD
2008
ACM
193views Data Mining» more  KDD 2008»
16 years 7 months ago
A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances
This work introduces a new family of link-based dissimilarity measures between nodes of a weighted directed graph. This measure, called the randomized shortest-path (RSP) dissimil...
Luh Yen, Marco Saerens, Amin Mantrach, Masashi Shi...
SDM
2009
SIAM
149views Data Mining» more  SDM 2009»
16 years 3 months ago
Near-optimal Supervised Feature Selection among Frequent Subgraphs.
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
Alexander J. Smola, Arthur Gretton, Hans-Peter Kri...