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ESWS
2008
Springer
15 years 6 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
BIOCOMP
2008
15 years 6 months ago
Analysis of Protein-Ligand Interactions Using Localized Stereochemical Features
Computational analyses of protein structure-function relationships have traditionally been based on sequence homology, fold family analysis and 3D motifs/templates. Previous struct...
Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
15 years 6 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu
NIPS
2004
15 years 6 months ago
A Topographic Support Vector Machine: Classification Using Local Label Configurations
The standard approach to the classification of objects is to consider the examples as independent and identically distributed (iid). In many real world settings, however, this ass...
Johannes Mohr, Klaus Obermayer
CASCON
1996
99views Education» more  CASCON 1996»
15 years 6 months ago
Modeling and analysis of the Unix communication subsystems
The performance of host communication subsystems is an important research topic in computer networks.1 Performance metrics such as throughput, delay, and packet loss are important...
Yi-Chun Chu, Toby J. Teorey