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» An Algebraic Approach to Data Mining: Some Examples
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PAKDD
2005
ACM
124views Data Mining» more  PAKDD 2005»
15 years 11 months ago
Finding Sporadic Rules Using Apriori-Inverse
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...
Yun Sing Koh, Nathan Rountree
INCDM
2001
Springer
109views Data Mining» more  INCDM 2001»
15 years 10 months ago
Experience Management: The Fraunhofer IESE Experience Factory
: Experience Management (EM) is an area that is increasingly gaining importance. Its roots lie in Experimental Software Engineering ("Experience Factory"), in Artificial ...
Klaus-Dieter Althoff, Björn Decker, Susanne H...
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
15 years 4 months ago
Probabilistic topic modeling for genomic data interpretation
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
Xin Chen, Xiaohua Hu, Xiajiong Shen, Gail Rosen
ER
2009
Springer
117views Database» more  ER 2009»
15 years 9 months ago
An Ontology-Based Framework for Geographic Data Integration
Ontologies have been extensively used to model domain-specific knowledge. Recent research has applied ontologies to enhance the discovery and retrieval of geographic data in Spatia...
Vânia Maria Ponte Vidal, Eveline R. Sacramen...
PR
2006
147views more  PR 2006»
15 years 6 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung