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» On the Complexity of Mining Association Rules
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KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 9 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
CIKM
2009
Springer
14 years 3 months ago
A case study on model driven data integration for data centric software development
Model Driven Data Integration is a data integration approach that proactively incorporates and utilizes metadata across the data integration process. By decoupling data and metada...
Hyeonsook Kim, Ying Zhang, Samia Oussena, Tony Cla...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
14 years 24 days ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
DEBS
2008
ACM
13 years 10 months ago
Speculative out-of-order event processing with software transaction memory
In event stream applications, events flow through a network of components that perform various types of operations, e.g., filtering, aggregation, transformation. When the operatio...
Andrey Brito, Christof Fetzer, Heiko Sturzrehm, Pa...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
13 years 6 months ago
Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...
Kristin Potter, Andrew Wilson, Peer-Timo Bremer, D...