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» Data Mining Algorithms on the Cell Broadband Engine
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AISADM
2005
Springer
14 years 1 months ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
IEEEPACT
2007
IEEE
14 years 1 months ago
AA-Sort: A New Parallel Sorting Algorithm for Multi-Core SIMD Processors
Many sorting algorithms have been studied in the past, but there are only a few algorithms that can effectively exploit both SIMD instructions and threadlevel parallelism. In this...
Hiroshi Inoue, Takao Moriyama, Hideaki Komatsu, To...
SAC
2009
ACM
14 years 2 months ago
Celling SHIM: compiling deterministic concurrency to a heterogeneous multicore
Parallel architectures are the way of the future, but are notoriously difficult to program. In addition to the low-level constructs they often present (e.g., locks, DMA, and non-...
Nalini Vasudevan, Stephen A. Edwards
DEBS
2010
ACM
13 years 11 months ago
Evaluation of streaming aggregation on parallel hardware architectures
We present a case study parallelizing streaming aggregation on three different parallel hardware architectures. Aggregation is a performance-critical operation for data summarizat...
Scott Schneider, Henrique Andrade, Bugra Gedik, Ku...
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
14 years 7 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...