204 search results - page 11 / 41 » Event Discovery in Time Series. |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Recent research has identified significant vulnerabilities in recommender systems. Shilling attacks, in which attackers introduce biased ratings in order to influence future recom...
DATAMINE
2007
13 years 7 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...
JMLR
2012
11 years 10 months ago
2012
In many settings, data is collected as multiple time series, where each recorded time series is an observation of some underlying dynamical process of interest. These observations...
IEAAIE
2009
Springer
14 years 2 months ago
2009
Springer
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
BMCBI
2007
13 years 7 months ago
2007
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...