77 search results - page 11 / 16 » PBIRCH: A Scalable Parallel Clustering algorithm for Increme... |
KDD
2007
ACM
14 years 9 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
CCGRID
2010
IEEE
13 years 6 months ago
2010
IEEE
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
CLOUD
2010
ACM
14 years 1 months ago
2010
ACM
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
EUMAS
2006
13 years 10 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...