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IJCNLP
2005
Springer
15 years 7 months ago
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Seungwoo Lee, Gary Geunbae Lee
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 5 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
KDD
2007
ACM
231views Data Mining» more  KDD 2007»
16 years 2 months ago
Xproj: a framework for projected structural clustering of xml documents
XML has become a popular method of data representation both on the web and in databases in recent years. One of the reasons for the popularity of XML has been its ability to encod...
Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua F...
122
Voted
SIGIR
2002
ACM
15 years 1 months ago
Automatic evaluation of world wide web search services
Users of the World-Wide Web are not only confronted by an immense overabundance of information, but also by a plethora of tools for searching for the web pages that suit their inf...
Abdur Chowdhury, Ian Soboroff
TJS
2010
182views more  TJS 2010»
15 years 9 days ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari