162 search results - page 2 / 33 » Mining for the most certain predictions from dyadic data |
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
ICDM
2008
IEEE
13 years 12 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
ICDM
2008
IEEE
13 years 12 months ago
2008
IEEE
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
KDD
1998
ACM
13 years 9 months ago
1998
ACM
We predict stock markets using information containedin articles published on the Web. Mostly textual articles appearingin the leading and the most influential financial newspapers...
KDD
2001
ACM
14 years 5 months ago
2001
ACM
CoIL challenge 2000 was a supervised learning contest that attracted 43 entries. The authors of 29 entries later wrote explanations of their work. This paper discusses these repor...