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FLAIRS
2000
14 years 11 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
IADIS
2008
14 years 11 months ago
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
15 years 10 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
ISMB
1994
14 years 11 months ago
Knowledge Discovery of Multilevel Protein Motifs
A new category of protein motif is introduced. This type of motif captures, in addition to global structure, the nested structure of its componentparts. Adata.set of four proteins...
Darrell Conklin, Suzanne Fortier, Janice I. Glasgo...
AIMS
2007
Springer
14 years 11 months ago
Iterative Key Based Routing for Web Services Addressing and Discovery
As the nodes and the resources in a structured peer-to-peer network are indexed with unique identifiers, and as the identifiers are assigned to nodes whose nodeId (i.e., the iden...
Marco Milanesio, Giancarlo Ruffo