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» Structural Inference for Semistructured Data
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ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
15 years 9 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 9 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ICML
2010
IEEE
15 years 4 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 3 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
HICSS
2002
IEEE
87views Biometrics» more  HICSS 2002»
15 years 8 months ago
Using Enterprise Reference Models for Automated ISO 9000 Compliance Evaluation
A computational enterprise model representing key facets of an organization can be an effective tool. For example, a specific organization's quality management business proce...
Henry M. Kim, Mark S. Fox