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» Mining Performance Data from Sampled Event Traces
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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 8 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
CORR
2010
Springer
236views Education» more  CORR 2010»
13 years 2 months ago
Precise, Scalable and Online Request Tracing for Multi-tier Services of Black Boxes
As more and more multi-tier services are developed from commercial off-the-shelf components or heterogeneous middleware without source code available, both developers and administr...
Bo Sang, Jianfeng Zhan, Zhihong Zhang, Lei Wang, D...
IPPS
2006
IEEE
14 years 1 months ago
A study of MPI performance analysis tools on Blue Gene/L
Applications on todays massively parallel supercomputers rely on performance analysis tools to guide them toward scalable performance on thousands of processors. However, conventi...
I-Hsin Chung, Robert Walkup, Hui-Fang Wen, Hao Yu
IADIS
2008
13 years 9 months ago
Data Mining In Marketing Acquisition CAMPAIGNS
Business applications of data mining in marketing often focus on use of predictive models to classify customer events such as acquisition, sales of products and services or custom...
Krzysztof Dzieciolowski, Dennis Kira
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Consensus group stable feature selection
Stability is an important yet under-addressed issue in feature selection from high-dimensional and small sample data. In this paper, we show that stability of feature selection ha...
Steven Loscalzo, Lei Yu, Chris H. Q. Ding