140 search results - page 3 / 28 » PaDDMAS: Parallel and Distributed Data Mining Application Su... |
PPOPP
2005
ACM
13 years 11 months ago
2005
ACM
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
HPDC
2006
IEEE
13 years 11 months ago
2006
IEEE
Through massive parallelism, distributed systems enable the multiplication of productivity. Unfortunately, increasing the scale of available machines to users will also multiply d...
IPPS
1998
IEEE
13 years 10 months ago
1998
IEEE
On-Line Analytical Processing techniques are used for data analysis and decision support systems. The multidimensionality of the underlying data is well represented by multidimens...
IPPS
1998
IEEE
13 years 10 months ago
1998
IEEE
Interprocessor communication times can be a significant fraction of the overall execution time required for data parallel applications. Large communication to computation ratios o...
IPPS
2010
IEEE
13 years 3 months ago
2010
IEEE
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop