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SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 1 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
NAR
2008
82views more  NAR 2008»
13 years 8 months ago
PIE: an online prediction system for protein-protein interactions from text
Protein
Sun Kim, Soo-Yong Shin, In-Hee Lee, Soo-Jin Kim, R...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 9 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
14 years 2 months ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
ASUNAM
2011
IEEE
12 years 8 months ago
Visualizing Bibliographic Databases as Graphs and Mining Potential Research Synergies
—Bibliographic databases are a prosperous field for data mining research and social network analysis. They contain rich information, which can be analyzed across different dimen...
Iraklis Varlamis, George Tsatsaronis