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» Incremental hierarchical clustering of text documents
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DASFAA
2004
IEEE
135views Database» more  DASFAA 2004»
13 years 9 months ago
Semi-supervised Text Classification Using Partitioned EM
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
SIGIR
2002
ACM
13 years 5 months ago
Analysis of papers from twenty-five years of SIGIR conferences: what have we been doing for the last quarter of a century?
mes, abstracts and year of publication of all 853 papers published.1 We then applied Porter stemming and stopword removal to this text, represented terms from the elds with twice t...
Alan F. Smeaton, Gary Keogh, Cathal Gurrin, Kieran...
BMCBI
2007
177views more  BMCBI 2007»
13 years 5 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
CIKM
2008
Springer
13 years 7 months ago
Scalable community discovery on textual data with relations
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...
TREC
2007
13 years 6 months ago
WIM at TREC 2007
This paper introduced the four tracks that WIM-Lab Fudan University had taken part in at TREC 2007. For spam track, a multi-centre model was proposed considering the characteristi...
Jun Xu, Jing Yao, Jiaqian Zheng, Qi Sun, Junyu Niu