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214
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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 11 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 10 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
163
Voted
SDM
2007
SIAM
104views Data Mining» more  SDM 2007»
15 years 8 months ago
Boosting Optimal Logical Patterns Using Noisy Data
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
Noam Goldberg, Chung-chieh Shan
WWW
2008
ACM
16 years 8 months ago
Can chinese web pages be classified with english data source?
As the World Wide Web in China grows rapidly, mining knowledge in Chinese Web pages becomes more and more important. Mining Web information usually relies on the machine learning ...
Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Q...
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
15 years 12 months ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng