822 search results - page 46 / 165 » Case Mining from Large Databases |
DAWAK
2007
Springer
14 years 2 months ago
2007
Springer
Several business applications such as marketing basket analysis, clickstream analysis, fraud detection and churning migration analysis demand gradient data analysis. By employing g...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
CIKM
2009
Springer
14 years 11 hour ago
2009
Springer
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
CCGRID
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...