185 search results - page 12 / 37 » Probing Knowledge in Distributed Data Mining |
ECML
1997
Springer
13 years 11 months ago
1997
Springer
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
IDA
2011
Springer
13 years 2 months ago
2011
Springer
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
A labeled sequence data set related to a certain biological property is often biased and, therefore, does not completely capture its diversity in nature. To reduce this sampling b...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
SAC
2006
ACM
14 years 1 months ago
2006
ACM
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...