ILP
2007
Springer
14 years 3 months ago
2007
Springer
Stochastically searching the space of candidate clauses is an appealing way to scale up ILP to large datasets. We address an approach that uses a Bayesian network model to adaptive...
SGAI
2009
Springer
14 years 3 months ago
2009
Springer
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
MLDM
2009
Springer
14 years 3 months ago
2009
Springer
In a world where massive amounts of data are recorded on a large scale we need data mining technologies to gain knowledge from the data in a reasonable time. The Top Down Induction...
CSE
2009
IEEE
14 years 4 months ago
2009
IEEE
—Due to the exponential growth of information on the Web, Recommender Systems have been developed to generate suggestions to help users overcome information overload and sift thr...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...