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» Efficient Learning of Semi-structured Data from Queries
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233
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ICDE
2006
IEEE
160views Database» more  ICDE 2006»
16 years 4 months ago
Surface k-NN Query Processing
A k-NN query finds the k nearest-neighbors of a given point from a point database. When it is sufficient to measure object distance using the Euclidian distance, the key to effici...
Ke Deng, Xiaofang Zhou, Heng Tao Shen, Kai Xu 0003...
127
Voted
VLDB
2007
ACM
129views Database» more  VLDB 2007»
15 years 9 months ago
Processing Forecasting Queries
Forecasting future events based on historic data is useful in many domains like system management, adaptive query processing, environmental monitoring, and financial planning. We...
Songyun Duan, Shivnath Babu
114
Voted
ICML
2006
IEEE
16 years 4 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
148
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XSYM
2007
Springer
168views Database» more  XSYM 2007»
15 years 9 months ago
Dynamic Fusion of Web Data
: Mashups exemplify a workflow-like approach to dynamically integrate data and services from multiple web sources. Such integration workflows can build on existing services for web...
Erhard Rahm, Andreas Thor, David Aumueller
250
Voted
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
16 years 4 months ago
Top-k Query Processing in Uncertain Databases
Top-k processing in uncertain databases is semantically and computationally different from traditional top-k processing. The interplay between score and uncertainty makes traditio...
Mohamed A. Soliman, Ihab F. Ilyas, Kevin Chen-Chua...