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KDD
1997
ACM
169views Data Mining» more  KDD 1997»
13 years 9 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 6 days ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
BMCBI
2010
162views more  BMCBI 2010»
13 years 5 months ago
SNP-RFLPing 2: an updated and integrated PCR-RFLP tool for SNP genotyping
Background: PCR-restriction fragment length polymorphism (RFLP) assay is a cost-effective method for SNP genotyping and mutation detection, but the manual mining for restriction e...
Hsueh-Wei Chang, Yu-Huei Cheng, Li-Yeh Chuang, Che...
BMCBI
2010
140views more  BMCBI 2010»
13 years 3 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu
SAC
2009
ACM
14 years 10 days ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad