371 search results - page 26 / 75 » Learning to match and cluster large high-dimensional data se... |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
DATAMINE
2002
13 years 7 months ago
2002
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
A prerequisite for leveraging the vast amount of data available on the Web is Entity Resolution, i.e., the process of identifying and linking data that describe the same real-worl...
ACL
2010
13 years 5 months ago
2010
This paper explores the use of clickthrough data for query spelling correction. First, large amounts of query-correction pairs are derived by analyzing users' query reformula...
KDD
2005
ACM
14 years 1 months ago
2005
ACM
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...