1701 search results - page 264 / 341 » Providing k-anonymity in data mining |
ICDE
2007
IEEE
14 years 11 months ago
2007
IEEE
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
MINENET
2005
ACM
14 years 3 months ago
2005
ACM
One of the most pressing problems in network research is the lack of long-term trace data from ISPs. The Internet carries an enormous volume and variety of data; mining this data ...
IDEAS
2000
IEEE
14 years 2 months ago
2000
IEEE
Today many applications routinely generate large quantities of data. The data often takes the form of (time) series, or more generally streams, i.e. an ordered sequence of records...
IJCAI
2007
13 years 11 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
KDD
2010
ACM
13 years 12 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...