126 search results - page 24 / 26 » Error bounds for correlation clustering |
TSMC
2002
14 years 9 months ago
2002
By exploiting the Fourier series expansion, we have developed a new constructive method of automatically generating a multivariable fuzzy inference system from any given sample set...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
116
Voted
DATAMINE
2007
14 years 9 months ago
2007
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
KBSE
2007
IEEE
15 years 3 months ago
2007
IEEE
Effective bug localization is important for realizing automated debugging. One attractive approach is to apply statistical techniques on a collection of evaluation profiles of pr...