115 search results - page 3 / 23 » Training Data Cleaning for Text Classification |
KDD
2002
ACM
14 years 6 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
KDD
2009
ACM
14 years 6 months ago
2009
ACM
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
AUSDM
2008
Springer
13 years 8 months ago
2008
Springer
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...
MICAI
2007
Springer
14 years 8 days ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
IJCAI
2003
13 years 7 months ago
2003
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...