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» Continuous Subgraph Pattern Search over Graph Streams
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EDBT
2008
ACM
166views Database» more  EDBT 2008»
14 years 5 months ago
A novel spectral coding in a large graph database
Retrieving related graphs containing a query graph from a large graph database is a key issue in many graph-based applications, such as drug discovery and structural pattern recog...
Lei Zou, Lei Chen 0002, Jeffrey Xu Yu, Yansheng Lu
KAIS
2010
139views more  KAIS 2010»
13 years 3 months ago
Periodic subgraph mining in dynamic networks
In systems of interacting entities such as social networks, interactions that occur regularly typically correspond to significant, yet often infrequent and hard to detect, interact...
Mayank Lahiri, Tanya Y. Berger-Wolf
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 5 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
KDD
2005
ACM
151views Data Mining» more  KDD 2005»
14 years 5 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai