18 search results - page 2 / 4 » High-Performance Commercial Data Mining: A Multistrategy Mac... |
KDD
2006
ACM
14 years 5 months ago
2006
ACM
KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring th...
SIGMOD
2010
ACM
13 years 9 months ago
2010
ACM
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
KDD
2010
ACM
13 years 6 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
WSDM
2012
ACM
12 years 12 days ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...