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» Data streams: algorithms and applications
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SIGIR
2006
ACM
16 years 3 days ago
Thread detection in dynamic text message streams
Text message stream is a newly emerging type of Web data which is produced in enormous quantities with the popularity of Instant Messaging and Internet Relay Chat. It is benefici...
Dou Shen, Qiang Yang, Jian-Tao Sun, Zheng Chen
ICDM
2006
IEEE
92views Data Mining» more  ICDM 2006»
16 years 6 days ago
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
ICDCS
2005
IEEE
15 years 11 months ago
Resource-Aware Distributed Stream Management Using Dynamic Overlays
We consider distributed applications that continuously stream data across the network, where data needs to be aggregated and processed to produce a 'useful' stream of up...
Vibhore Kumar, Brian F. Cooper, Zhongtang Cai, Gre...
PODS
2006
ACM
134views Database» more  PODS 2006»
16 years 6 months ago
Approximate quantiles and the order of the stream
Recently, there has been an increased focus on modeling uncertainty by distributions. Suppose we wish to compute a function of a stream whose elements are samples drawn independen...
Sudipto Guha, Andrew McGregor
PODS
2006
ACM
122views Database» more  PODS 2006»
16 years 6 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...