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» Phenomenal Data Mining: From Data to Phenomena
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FLAIRS
2010
15 years 9 months ago
Mining Actionable Patterns
We propose a generic framework that uses utility in decision making to drive the data mining process. We use concepts from meta-learning and build on earlier work by Elovici and B...
Prabakararaj Swapna Raj, Ravindran Balaraman
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
16 years 1 months ago
Metropolis Algorithms for Representative Subgraph Sampling
While data mining in chemoinformatics studied graph data with dozens of nodes, systems biology and the Internet are now generating graph data with thousands and millions of nodes....
Christian Hübler, Hans-Peter Kriegel, Karsten...
ICDE
2010
IEEE
290views Database» more  ICDE 2010»
15 years 10 months ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink
KAIS
2000
86views more  KAIS 2000»
15 years 6 months ago
A Mathematical Foundation for Improved Reduct Generation in Information Systems
When data sets are analyzed, statistical pattern recognition is often used to find the information hidden in the data. Another approach to information discovery is data mining. Dat...
Janusz A. Starzyk, Dale E. Nelson, Kirk Sturtz
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
15 years 4 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka