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» A Framework for Data Mining Pattern Management
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JCIT
2008
165views more  JCIT 2008»
13 years 9 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
DSONLINE
2008
152views more  DSONLINE 2008»
13 years 9 months ago
Software Architecture Patterns for a Context-Processing Middleware Framework
Ubiquitous applications are characterised by variations of their execution context. Their correct operation requires some continual adaptations based on the observation of their e...
Romain Rouvoy, Denis Conan, Lionel Seinturier
BTW
2005
Springer
104views Database» more  BTW 2005»
14 years 2 months ago
Maintaining Nonparametric Estimators over Data Streams
Abstract: An effective processing and analysis of data streams is of utmost importance for a plethora of emerging applications like network monitoring, traffic management, and fi...
Björn Blohsfeld, Christoph Heinz, Bernhard Se...
KDD
2004
ACM
159views Data Mining» more  KDD 2004»
14 years 2 months ago
Optimal randomization for privacy preserving data mining
Randomization is an economical and efficient approach for privacy preserving data mining (PPDM). In order to guarantee the performance of data mining and the protection of individ...
Michael Yu Zhu, Lei Liu
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 2 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer