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» Estimating Missing Data in Data Streams
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HPCC
2007
Springer
14 years 4 months ago
Continuous Adaptive Outlier Detection on Distributed Data Streams
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...
JMM2
2008
80views more  JMM2 2008»
13 years 9 months ago
Reliable Transmission of Audio Streams in Lossy Channels Using Application Level Data Hiding
The paper improves the reliability of audio streams in a lossy channel. The mechanism groups audio data samples into source and carrier sets. The carrier set carry the information ...
Parag Agarwal, Balakrishnan Prabhakaran
SDM
2007
SIAM
140views Data Mining» more  SDM 2007»
13 years 11 months ago
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu
EDBT
2004
ACM
174views Database» more  EDBT 2004»
14 years 10 months ago
Processing Data-Stream Join Aggregates Using Skimmed Sketches
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 10 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu