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» Hybrid Learning Scheme for Data Mining Applications
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KDD
2004
ACM
113views Data Mining» more  KDD 2004»
14 years 8 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 10 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
CE
2008
91views more  CE 2008»
13 years 7 months ago
Mining e-Learning domain concept map from academic articles
Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Hong-Jhe ...
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
14 years 8 months ago
Mining reference tables for automatic text segmentation
Automatically segmenting unstructured text strings into structured records is necessary for importing the information contained in legacy sources and text collections into a data ...
Eugene Agichtein, Venkatesh Ganti
ICFCA
2010
Springer
14 years 17 days ago
A Survey of Hybrid Representations of Concept Lattices in Conceptual Knowledge Processing
A feature of Formal Concept Analysis is the use of the line diagram of the concept lattice to visualize a conceptual space. The line diagram is a specialized form of Hasse diagram ...
Peter W. Eklund, Jean Villerd