149 search results - page 4 / 30 » Introduction: Recent Developments in Parallel and Distribute... |
IADIS
2003
13 years 8 months ago
2003
Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
SBACPAD
2003
IEEE
14 years 21 days ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
ICDCS
2006
IEEE
14 years 1 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
OSDI
2008
ACM
13 years 9 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
HPDC
2008
IEEE
14 years 1 months ago
2008
IEEE
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...