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CLUSTER
2009
IEEE
14 years 24 days ago
24/7 Characterization of petascale I/O workloads
Abstract--Developing and tuning computational science applications to run on extreme scale systems are increasingly complicated processes. Challenges such as managing memory access...
Philip H. Carns, Robert Latham, Robert B. Ross, Ka...
VLDB
2002
ACM
137views Database» more  VLDB 2002»
13 years 8 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
DAWAK
2005
Springer
13 years 10 months ago
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...
CORR
2008
Springer
119views Education» more  CORR 2008»
13 years 7 months ago
Unified storage systems for distributed Tier-2 centres
The start of data taking at the Large Hadron Collider will herald a new era in data volumes and distributed processing in particle physics. Data volumes of hundreds of Terabytes wi...
Greig A. Cowan, Graeme A. Stewart, Andrew Elwell
SAC
2006
ACM
14 years 2 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal