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ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed that numeric data can simply be turned into symbol...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. A new classification algorithm based on combination of kernel density estimators is introduced. The method combines the estimators with different bandwidths what can be i...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...