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KDD
2007
ACM
144views Data Mining» more  KDD 2007»
16 years 7 months ago
Fast direction-aware proximity for graph mining
In this paper we study asymmetric proximity measures on directed graphs, which quantify the relationships between two nodes or two groups of nodes. The measures are useful in seve...
Hanghang Tong, Christos Faloutsos, Yehuda Koren
221
Voted
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 months ago
Density-based clustering for real-time stream data
Existing data-stream clustering algorithms such as CluStream are based on k-means. These clustering algorithms are incompetent to find clusters of arbitrary shapes and cannot hand...
Yixin Chen, Li Tu
196
Voted
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
KDD
2007
ACM
335views Data Mining» more  KDD 2007»
16 years 7 months ago
Detecting changes in large data sets of payment card data: a case study
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...
POPL
2007
ACM
16 years 7 months ago
Interprocedural analysis of asynchronous programs
An asynchronous program is one that contains procedure calls which are not immediately executed from the callsite, but stored and "dispatched" in a non-deterministic ord...
Ranjit Jhala, Rupak Majumdar
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