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» Discovering Hidden Knowledge from Biomedical Literature
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CSIE
2009
IEEE
14 years 2 months ago
How Emergent Self Organizing Maps Can Help Counter Domestic Violence
Topographic maps are an appealing exploratory instrument for discovering new knowledge from databases. During the past years, new types of Self Organizing Maps (SOM) were introduc...
Jonas Poelmans, Paul Elzinga, Stijn Viaene, Marc M...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
13 years 11 months ago
Connecting the dots between news articles
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
Dafna Shahaf, Carlos Guestrin
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
Automatic symptom name normalization in clinical records of traditional Chinese medicine
Background: In recent years, Data Mining technology has been applied more than ever before in the field of traditional Chinese medicine (TCM) to discover regularities from the exp...
Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo...
INFOSCALE
2006
ACM
14 years 1 months ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...
NIPS
2007
13 years 9 months ago
Spatial Latent Dirichlet Allocation
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Xiaogang Wang, Eric Grimson