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» A Multi-Resolution Relational Data Model
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LREC
2010
141views Education» more  LREC 2010»
14 years 11 months ago
Evaluating Semantic Relations and Distances in the Associative Concept Dictionary using NIRS-imaging
In this study, we extracted brain activities related to semantic relations and distances to improve the precision of distance calculation among concepts in the Associated Concept ...
Nao Tatsumi, Jun Okamoto, Shun Ishizaki
AMAI
2007
Springer
14 years 10 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 3 months ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han
ML
2006
ACM
14 years 9 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
15 years 10 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar