42 search results - page 3 / 9 » A sampling-based framework for parallel data mining |
ICDM
2009
IEEE
14 years 1 days ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
ICDCS
2002
IEEE
13 years 10 months ago
2002
IEEE
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
IPPS
2007
IEEE
13 years 11 months ago
2007
IEEE
For a grid middleware to perform resource allocation, prediction models are needed, which can determine how long an application will take for completion on a particular platform o...
MLDM
2009
Springer
13 years 12 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
EUMAS
2006
13 years 6 months ago
2006
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...