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133
Voted
MLDM
2009
Springer
15 years 10 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
139
Voted
ICDE
2008
IEEE
15 years 10 months ago
2008
IEEE
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
155
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
144
Voted
ICDM
2007
IEEE
15 years 7 months ago
2007
IEEE
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
141
Voted
ACL
2003
15 years 5 months ago
2003
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...