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» Applying Grid Technologies to Distributed Data Mining
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DATAMINE
2006
164views more  DATAMINE 2006»
13 years 8 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...
CLUSTER
2000
IEEE
14 years 14 days ago
Multi-Grid Acceleration of a SIMPLE-Based CFD-Code and Aspects of Parallelization
The present study treats the calculation of the continuous phase of a multiphase flow, i.e. the numerical solution of the equations for a turbulent incompressible flow. An exist...
Klaus Bernert, Thomas Frank, Hellfried Schneider, ...
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 1 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
IEEEARES
2010
IEEE
14 years 1 months ago
Detection of Spyware by Mining Executable Files
Spyware represents a serious threat to confidentiality since it may result in loss of control over private data for computer users. This type of software might collect the data and...
Raja Khurram Shahzad, Syed Imran Haider, Niklas La...
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 1 months ago
Postprocessing Decision Trees to Extract Actionable Knowledge
Most data mining algorithms and tools stop at discovered customer models, producing distribution information on customer profiles. Such techniques, when applied to industrial pro...
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen