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DASFAA
2005
IEEE
157views Database» more  DASFAA 2005»
16 years 18 days ago
Adaptively Detecting Aggregation Bursts in Data Streams
Finding bursts in data streams is attracting much attention in research community due to its broad applications. Existing burst detection methods suffer the problems that 1) the p...
Aoying Zhou, Shouke Qin, Weining Qian
SBCCI
2005
ACM
98views VLSI» more  SBCCI 2005»
16 years 16 days ago
Mapping embedded systems onto NoCs: the traffic effect on dynamic energy estimation
This work addresses the problem of application mapping in networks-on-chip (NoCs). It explores the importance of characterizing network traffic to effectively predict NoC energy c...
José Carlos S. Palma, César A. M. Ma...
178
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GD
2005
Springer
16 years 15 days ago
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks
Visualizing and analyzing social networks is a challenging problem that has been receiving growing attention. An important first step, before analysis can begin, is ensuring that...
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben S...
191
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PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
16 years 14 days ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
161
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STACS
2005
Springer
16 years 13 days ago
Kolmogorov-Loveland Randomness and Stochasticity
An infinite binary sequence X is Kolmogorov-Loveland (or KL) random if there is no computable non-monotonic betting strategy that succeeds on X in the sense of having an unbounde...
Wolfgang Merkle, Joseph S. Miller, André Ni...
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