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» A Framework for Visualising Large Graphs
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ICDE
2010
IEEE
240views Database» more  ICDE 2010»
15 years 4 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
ECOOP
2003
Springer
15 years 5 months ago
LeakBot: An Automated and Lightweight Tool for Diagnosing Memory Leaks in Large Java Applications
Despite Java’s automatic reclamation of memory, memory leaks remain an important problem. For example, we frequently encounter memory leaks that cause production servers to crash...
Nick Mitchell, Gary Sevitsky
ICDE
2009
IEEE
184views Database» more  ICDE 2009»
15 years 6 months ago
Scalable Keyword Search on Large Data Streams
Abstract— It is widely realized that the integration of information retrieval (IR) and database (DB) techniques provides users with a broad range of high quality services. A new ...
Lu Qin, Jeffrey Xu Yu, Lijun Chang, Yufei Tao
TVCG
2008
145views more  TVCG 2008»
14 years 11 months ago
Geometry-Based Edge Clustering for Graph Visualization
Graphs have been widely used to model relationships among data. For large graphs, excessive edge crossings make the display visually cluttered and thus difficult to explore. In thi...
Weiwei Cui, Hong Zhou, Huamin Qu, Pak Chung Wong, ...
ICML
2009
IEEE
16 years 19 days ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis