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CORR
2008
Springer
192views Education» more  CORR 2008»
13 years 6 months ago
Anomaly Detection in Streaming Sensor Data
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
Alec Pawling, Ping Yan, Julián Candia, Timo...
MOBISYS
2007
ACM
14 years 7 months ago
A time-and-value centric provenance model and architecture for medical event streams
Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, a...
Min Wang, Marion Blount, John Davis, Archan Misra,...
CLOUD
2010
ACM
14 years 21 days ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
CIDR
2011
249views Algorithms» more  CIDR 2011»
12 years 11 months ago
The Case for Predictive Database Systems: Opportunities and Challenges
This paper argues that next generation database management systems should incorporate a predictive model management component to effectively support both inward-facing application...
Mert Akdere, Ugur Çetintemel, Matteo Rionda...
SIGMOD
2007
ACM
108views Database» more  SIGMOD 2007»
14 years 7 months ago
Travel time estimation using NiagaraST and latte
To address increasing traffic congestion and its associated consequences, traffic managers are turning to intelligent transportation management. The latte project is extending dat...
Kristin Tufte, Jin Li, David Maier, Vassilis Papad...