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» Modeling Relational Data as Graphs for Mining
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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
15 years 10 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint
ICML
2007
IEEE
16 years 5 months ago
Relational clustering by symmetric convex coding
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...
PKDD
2000
Springer
116views Data Mining» more  PKDD 2000»
15 years 7 months ago
Prior Knowledge in Economic Applications of Data Mining
A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important...
A. J. Feelders
PVLDB
2008
167views more  PVLDB 2008»
15 years 2 months ago
Keyword search on external memory data graphs
Keyword search on graph structured data has attracted a lot of attention in recent years. Graphs are a natural "lowest common denominator" representation which can combi...
Bhavana Bharat Dalvi, Meghana Kshirsagar, S. Sudar...
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 4 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook