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» Large Scale Data Mining: Challenges and Responses
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UIC
2010
Springer
15 years 4 months ago
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area
As a result of the recent explosion of sensor-equipped mobile phone market, the phenomenal growth of Internet and social network users, and the large deployment of sensor network i...
Daqing Zhang, Bin Guo, Bin Li, Zhiwen Yu
ICDCS
2005
IEEE
15 years 11 months ago
Comparison of Approaches to Service Deployment
IT today is driven by the trend of increasing scale and complexity. Utility and Grid computing models, PlanetLab, and traditional data centers, are reaching the scale of thousands...
Vanish Talwar, Qinyi Wu, Calton Pu, Wenchang Yan, ...
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
16 years 3 days ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
CLUSTER
2006
IEEE
16 years 3 days ago
A Simple Synchronous Distributed-Memory Algorithm for the HPCC RandomAccess Benchmark
The RandomAccess benchmark as defined by the High Performance Computing Challenge (HPCC) tests the speed at which a machine can update the elements of a table spread across globa...
Steven J. Plimpton, Ron Brightwell, Courtenay Vaug...
ISQED
2010
IEEE
127views Hardware» more  ISQED 2010»
15 years 4 months ago
Limits of bias based assist methods in nano-scale 6T SRAM
Reduced device dimensions and operating voltages that accompany technology scaling have led to increased design challenges with each successive technology node. Large scale 6T SRA...
Randy W. Mann, Satyanand Nalam, Jiajing Wang, Bent...