1599 search results - page 202 / 320 » Theoretical Frameworks for Data Mining |
JODS
2007
13 years 9 months ago
2007
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
IJON
2010
13 years 7 months ago
2010
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
ADMA
2009
Springer
14 years 3 months ago
2009
Springer
It is of high biomedical interest to identify gene interactions and networks that are associated with developmental and physiological functions in the mouse embryo. There are now v...
JASIS
2000
13 years 9 months ago
2000
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...