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» Graph Mining using Graph Pattern Profiles
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WWW
2008
ACM
15 years 10 months ago
Substructure similarity measurement in chinese recipes
Improving the precision of information retrieval has been a challenging issue on Chinese Web. As exemplified by Chinese recipes on the Web, it is not easy/natural for people to us...
Liping Wang, Qing Li, Na Li, Guozhu Dong, Yu Yang
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 11 months ago
Metric forensics: a multi-level approach for mining volatile graphs
Advances in data collection and storage capacity have made it increasingly possible to collect highly volatile graph data for analysis. Existing graph analysis techniques are not ...
Keith Henderson, Tina Eliassi-Rad, Christos Falout...
EUROPAR
1998
Springer
15 years 1 months ago
Analysing an SQL Application with a BSPlib Call-Graph Profiling Tool
This paper illustrates the use of a post-mortem call-graph profiling tool in the analysis of an SQL query processing application written using BSPIib [4]. Unlike other parallel pro...
Jonathan M. D. Hill, Stephen A. Jarvis, Constantin...
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
15 years 9 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
83
Voted
SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
15 years 6 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki