583 search results - page 60 / 117 » Mining evolving data streams for frequent patterns |
DASFAA
2007
IEEE
15 years 4 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
INFOCOM
2010
IEEE
14 years 8 months ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...
WSDM
2012
ACM
13 years 5 months ago
2012
ACM
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
SIGKDD
2008
14 years 9 months ago
2008
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...