37 search results - page 2 / 8 » Missing values : processing with the Kohonen algorithm |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
CP
2008
Springer
13 years 7 months ago
2008
Springer
Fuzzy constraints are a popular approach to handle preferences and over-constrained problems in scenarios where one needs to be cautious, such as in medical or space applications. ...
DKE
2008
13 years 5 months ago
2008
Handling missing data is a critical step to ensuring good results in data mining. Like most data mining algorithms, existing privacy-preserving data mining algorithms assume data ...
AI
2010
Springer
13 years 5 months ago
2010
Springer
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, settings where agents are distributed and have privacy issues, or ...