1009 search results - page 2 / 202 » Using Data Mining to Estimate Missing Sensor Data |
ISBI
2004
IEEE
14 years 6 months ago
2004
IEEE
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
NCA
2007
IEEE
13 years 4 months ago
2007
IEEE
Based on independent component analysis (ICA) and self-organizing maps (SOM), this paper proposes an ISOM-DH model for the incomplete data’s handling in data mining. Under these ...
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 ...
ICC
2009
IEEE
14 years 4 days ago
2009
IEEE
—The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively...
PKDD
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...