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PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 2 months ago
Cost-Sensitive Learning Based on Bregman Divergences
Raúl Santos-Rodríguez, Alicia Guerre...
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
14 years 12 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
CORR
2004
Springer
125views Education» more  CORR 2004»
14 years 9 months ago
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3. The NRC system ...
Peter D. Turney
WWW
2002
ACM
15 years 10 months ago
A machine learning based approach for table detection on the web
Table is a commonly used presentation scheme, especially for describing relational information. However, table understanding remains an open problem. In this paper, we consider th...
Yalin Wang, Jianying Hu