287 search results - page 7 / 58 » Coactive Learning for Distributed Data Mining |
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
KDD
1995
ACM
15 years 1 months ago
1995
ACM
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
111
click to vote
ALT
2001
Springer
15 years 6 months ago
2001
Springer
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
IDA
2009
Springer
14 years 7 months ago
2009
Springer
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...