258 search results - page 45 / 52 » Mining Patterns in Long Sequential Data with Noise |
ISBI
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper, we focus on the reconstruction of iDQC MR spectroscopy data. Unlike standard 1-D MR spectroscopy schemes, iDQC acquires 2-D spectral data to decouple the magnetic f...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
KDD
2000
ACM
13 years 11 months ago
2000
ACM
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...