883 search results - page 73 / 177 » Applying Grid Technologies to Distributed Data Mining |
VRML
2004
ACM
14 years 1 months ago
2004
ACM
Mining operations have traditionally used specialised software packages to process and visualise valuable mining data. The downside to this approach is that the information can on...
PRDC
2002
IEEE
14 years 29 days ago
2002
IEEE
Grid computing relies on fragile partnerships. Clients with hundreds or even thousands of pending service requests must seek out and form temporary alliances with remote servers e...
ICPP
2000
IEEE
14 years 13 days ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
BMCBI
2010
13 years 5 months ago
2010
Background: Bioinformatics is confronted with a new data explosion due to the availability of high throughput DNA sequencers. Data storage and analysis becomes a problem on local ...