7015 search results - page 1301 / 1403 » Approximation algorithms for co-clustering |
WWW
2009
ACM
14 years 10 months ago
2009
ACM
Understanding user intent is key to designing an effective ranking system in a search engine. In the absence of any explicit knowledge of user intent, search engines want to diver...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
KDD
2007
ACM
14 years 9 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...