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» Processing of Data Streams with Prediction Functions
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SIGMOD
2004
ACM
174views Database» more  SIGMOD 2004»
14 years 8 months ago
PIPES - A Public Infrastructure for Processing and Exploring Streams
PIPES is a flexible and extensible infrastructure providing fundamental building blocks to implement a data stream management system (DSMS). It is seamlessly integrated into the J...
Bernhard Seeger, Jürgen Krämer
AIME
2007
Springer
14 years 2 months ago
Predictive Modeling of fMRI Brain States Using Functional Canonical Correlation Analysis
We present a novel method for predictive modeling of human brain states from functional neuroimaging (fMRI) data. Extending the traditional canonical correlation analysis of discre...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....
DCC
2010
IEEE
13 years 7 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
14 years 8 months ago
Holistic UDAFs at streaming speeds
Many algorithms have been proposed to approximate holistic aggregates, such as quantiles and heavy hitters, over data streams. However, little work has been done to explore what t...
Graham Cormode, Theodore Johnson, Flip Korn, S. Mu...
INFOCOM
2010
IEEE
13 years 7 months ago
Tracking Quantiles of Network Data Streams with Dynamic Operations
— 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...
Jin Cao, Li (Erran) Li, Aiyou Chen, Tian Bu