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HPDC
2008
IEEE
14 years 4 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
ICDM
2008
IEEE
128views Data Mining» more  ICDM 2008»
14 years 4 months ago
Cost-Sensitive Parsimonious Linear Regression
We examine linear regression problems where some features may only be observable at a cost (e.g., in medical domains where features may correspond to diagnostic tests that take ti...
Robby Goetschalckx, Kurt Driessens, Scott Sanner
KDD
1997
ACM
142views Data Mining» more  KDD 1997»
14 years 2 months ago
Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis
Wedescribehow specializeddatabasetechnology and data analysis methods were applied by the Swedish defense to help deal with the violation of Swedish marine territory by foreign su...
Ulla Bergsten, Johan Schubert, Per Svensson
BIBE
2000
IEEE
14 years 1 months ago
Mining Residue Contacts in Proteins
In this paper we develop data mining techniques to predict 3D contact potentials among protein residues (or amino acids) based on the hierarchical nucleationpropagation model of p...
Mohammed Javeed Zaki, Shan Jin, Chris Bystroff
SAC
2004
ACM
14 years 3 months ago
Statistical properties of transactional databases
Most of the complexity of common data mining tasks is due to the unknown amount of information contained in the data being mined. The more patterns and correlations are contained ...
Paolo Palmerini, Salvatore Orlando, Raffaele Pereg...