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» OntoDM: An Ontology of Data Mining
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SAC
2008
ACM
13 years 6 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod
CORR
2010
Springer
193views Education» more  CORR 2010»
13 years 6 months ago
A Probabilistic Approach for Learning Folksonomies from Structured Data
Learning structured representations has emerged as an important problem in many domains, including document and Web data mining, bioinformatics, and image analysis. One approach t...
Anon Plangprasopchok, Kristina Lerman, Lise Getoor
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 1 months ago
Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
Wilson Wong, Wei Liu, Mohammed Bennamoun
BMCBI
2005
153views more  BMCBI 2005»
13 years 7 months ago
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
JUCS
2010
164views more  JUCS 2010»
13 years 5 months ago
On Sustainability of Context-Aware Services Among Heterogeneous Smart Spaces
Abstract: Most of ambient intelligence studies have tried to employ inductive methods (e.g., data mining) to discover useful information and patterns from data streams on sensor ne...
Jason J. Jung