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AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
This paper studies the problem of extracting data from a Web page that contains several structured data records. The objective is to segment these data records, extract data items...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
VLDB
1998
ACM
13 years 12 months ago
1998
ACM
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...