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» Top-k Correlative Graph Mining.
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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
PAISI
2009
Springer
13 years 11 months ago
Discovering Compatible Top-K Theme Patterns from Text Based on Users' Preferences
Discovering a representative set of theme patterns from a large amount of text for interpreting their meaning has always been concerned by researches of both data mining and inform...
Yongxin Tong, Shilong Ma, Dan Yu, Yuanyuan Zhang, ...
ICDE
2010
IEEE
240views Database» more  ICDE 2010»
13 years 8 months ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
CORR
2012
Springer
250views Education» more  CORR 2012»
12 years 2 days ago
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs
In this work, we study the correlation between attribute sets and the occurrence of dense subgraphs in large attributed graphs, a task we call structural correlation pattern minin...
Arlei Silva, Wagner Meira Jr., Mohammed J. Zaki
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
13 years 2 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu