76 search results - page 7 / 16 » Detecting Changes in Unlabeled Data Streams Using Martingale |
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
PAKDD
2004
ACM
14 years 1 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
ICAC
2006
IEEE
14 years 1 months ago
2006
IEEE
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...