ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
In a typical realistic scenario, there exist some past data about the structure of the network which are analyzed with respect to some possibly future spreading process, such as b...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
We consider the problem of publishing sensitive transaction data with privacy preservation. High dimensionality of transaction data poses unique challenges on data privacy and dat...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
Order-preserving submatrices (OPSM’s) have been shown useful in capturing concurrent patterns in data when the relative magnitudes of data items are more important than their ab...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...