2705 search results - page 203 / 541 » Privacy in Data Mining Using Formal Methods |
155
Voted
KDD
2008
ACM
16 years 2 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
EUSFLAT
2007
15 years 3 months ago
2007
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
120
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
232
Voted
ICDE
2008
IEEE
16 years 3 months ago
2008
IEEE
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
109
Voted
INFOCOM
2010
IEEE
15 years 27 days ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...