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PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 11 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...
GLOBECOM
2006
IEEE
14 years 4 months ago
Adaptive Forward Error Correction for Interactive Streaming Over the Internet
Abstract— Despite the emergence of voice over IP and videoconferencing services, recent studies have shown that the Internet still may not provide acceptable quality for interact...
Fernando Silveira Filho, Edson H. Watanabe, Edmund...
IM
2006
13 years 10 months ago
Estimating Entropy and Entropy Norm on Data Streams
We consider the problem of computing information theoretic functions such as entropy on a data stream, using sublinear space. Our first result deals with a measure we call the &quo...
Amit Chakrabarti, Khanh Do Ba, S. Muthukrishnan
CIDM
2007
IEEE
13 years 11 months ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
13 years 11 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...