62 search results - page 4 / 13 » Mining sequential patterns from data streams: a centroid app... |
KDD
2012
ACM
11 years 10 months ago
2012
ACM
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
SP
2008
IEEE
13 years 7 months ago
2008
IEEE
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
CIKM
2004
Springer
14 years 27 days ago
2004
Springer
Biosequences typically have a small alphabet, a long length, and patterns containing gaps (i.e., “don’t care”) of arbitrary size. Mining frequent patterns in such sequences ...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...