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» Efficient Correlation Search from Graph Databases
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TKDE
2008
136views more  TKDE 2008»
13 years 4 months ago
Efficient Correlation Search from Graph Databases
Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Yiping Ke, James Cheng, Wilfred Ng
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
14 years 4 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
ICDE
2006
IEEE
222views Database» more  ICDE 2006»
14 years 5 months ago
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases
Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Jianyong Wang, Zhiping Zeng, Lizhu Zhou
DASFAA
2009
IEEE
93views Database» more  DASFAA 2009»
13 years 11 months ago
Top-K Correlation Sub-graph Search in Graph Databases
Recently, due to its wide applications, (similar) subgraph search has attracted a lot of attentions from database and data mining community, such as [13, 18, 19, 5]. In [8], Ke et ...
Lei Zou, Lei Chen 0002, Yansheng Lu
ICDE
2007
IEEE
167views Database» more  ICDE 2007»
14 years 5 months ago
GString: A Novel Approach for Efficient Search in Graph Databases
Graphs are widely used for modeling complicated data, including chemical compounds, protein interactions, XML documents, and multimedia. Information retrieval against such data ca...
Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigen...