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» Towards A Model-Driven Engineering Approach of Data Mining
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ISIP
2008
IEEE
14 years 3 months ago
An Approach Towards the Integration of Adaptive Business Intelligent and Constraint Programming
Adaptive Business Intelligence is the discipline that combines prediction, optimization and adaptability into a system answering two important questions: What would probably happe...
José Miguel Rubio, Broderick Crawford
ICDCS
2002
IEEE
14 years 2 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
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
IPPS
2009
IEEE
14 years 3 months ago
Multi-dimensional characterization of temporal data mining on graphics processors
Through the algorthmic design patterns of data parallelism and task parallelism, the graphics processing unit (GPU) offers the potential to vastly accelerate discovery and innovat...
Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu...
ISDA
2009
IEEE
14 years 3 months ago
From Local Patterns to Global Models: Towards Domain Driven Educational Process Mining
Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery...
Nikola Trcka, Mykola Pechenizkiy