872 search results - page 87 / 175 » Hybrid Learning Scheme for Data Mining Applications |
KAIS
2007
13 years 7 months ago
2007
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
DMIN
2006
13 years 9 months ago
2006
Segmentation is one of the fundamental components in time series data mining. One of the uses of the time series segmentation is trend analysis - to segment the time series into pr...
ICDM
2002
IEEE
14 years 25 days ago
2002
IEEE
We empirically evaluate the performance of various reinforcement learning methods in applications to sequential targeted marketing. In particular, we propose and evaluate a progre...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
Link prediction is an important task in social networks and data mining for understanding the mechanisms by which the social networks form and evolve. In most link prediction rese...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...