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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 1 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
CIKM
2008
Springer
13 years 9 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
RECOMB
2004
Springer
14 years 7 months ago
Mining protein family specific residue packing patterns from protein structure graphs
Finding recurring residue packing patterns, or spatial motifs, that characterize protein structural families is an important problem in bioinformatics. To this end, we apply a nov...
Jun Huan, Wei Wang 0010, Deepak Bandyopadhyay, Jac...
EDBT
2012
ACM
257views Database» more  EDBT 2012»
11 years 9 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
14 years 1 months ago
Local Probabilistic Models for Link Prediction
One of the core tasks in social network analysis is to predict the formation of links (i.e. various types of relationships) over time. Previous research has generally represented ...
Chao Wang, Venu Satuluri, Srinivasan Parthasarathy