77 search results - page 14 / 16 » On the Anonymization of Sparse High-Dimensional Data |
ICPP
2000
IEEE
13 years 11 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
BMCBI
2007
13 years 6 months ago
2007
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
SIGMOD
2011
ACM
12 years 9 months ago
2011
ACM
Multimedia similarity search has been playing a critical role in many novel applications. Typically, multimedia objects are described by high-dimensional feature vectors (or point...
KDD
2009
ACM
14 years 7 months ago
2009
ACM
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
NIPS
2001
13 years 8 months ago
2001
Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...