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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 4 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 4 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...
133
Voted
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
16 years 4 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 4 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
130
Voted
VLSID
2007
IEEE
130views VLSI» more  VLSID 2007»
16 years 4 months ago
Impact of NBTI on FPGAs
Device scaling such as reduced oxide thickness and high electric field has given rise to various reliability concerns. One such growing issue of concern is the degradation of PMOS...
Krishnan Ramakrishnan, S. Suresh, Narayanan Vijayk...