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» Analysis of sampling techniques for association rule mining
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ICS
2010
Tsinghua U.
13 years 9 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
EDM
2009
116views Data Mining» more  EDM 2009»
13 years 4 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
EOR
2007
165views more  EOR 2007»
13 years 6 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
ADC
2006
Springer
188views Database» more  ADC 2006»
14 years 21 days ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
AEOG
2011
143views more  AEOG 2011»
12 years 6 months ago
Analyzing the effects of scale and land use pattern metrics on land use database generalization indices
The generalization index system is one of the critical issues for computer-aided land use database generalization. This paper studies the scale and land use pattern effects on lan...
Yaolin Liu, Limin Jiao, Yanfang Liu