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ICDE
2010
IEEE
224views Database» more  ICDE 2010»
16 years 3 months ago
Probabilistic Declarative Information Extraction
Abstract-Unstructured text represents a large fraction of the world's data. It often contain snippets of structured information within them (e.g., people's names and zip ...
Daisy Zhe Wang, Eirinaios Michelakis, Joseph M. He...
EWSN
2008
Springer
16 years 3 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
WSDM
2010
ACM
199views Data Mining» more  WSDM 2010»
16 years 1 months ago
A Sketch-Based Distance Oracle for Web-Scale Graphs
We study the fundamental problem of computing distances between nodes in large graphs such as the web graph and social networks. Our objective is to be able to answer distance que...
Atish Das Sarma, Sreenivas Gollapudi, Marc Najork,...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
16 years 1 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
ICDE
2010
IEEE
238views Database» more  ICDE 2010»
15 years 11 months ago
Correlation hiding by independence masking
— Extracting useful correlation from a dataset has been extensively studied. In this paper, we deal with the opposite, namely, a problem we call correlation hiding (CH), which is...
Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke ...
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