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CIDM
2007
IEEE
16 years 24 days ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal
SIGMOD
2009
ACM
125views Database» more  SIGMOD 2009»
16 years 6 months ago
Top-k queries on uncertain data: on score distribution and typical answers
Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some user-defined score are an important...
Tingjian Ge, Stanley B. Zdonik, Samuel Madden
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
16 years 6 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...
SIGMOD
2003
ACM
209views Database» more  SIGMOD 2003»
16 years 6 months ago
Distributed Top-K Monitoring
The querying and analysis of data streams has been a topic of much recent interest, motivated by applications from the fields of networking, web usage analysis, sensor instrumenta...
Brian Babcock, Chris Olston
ATAL
2005
Springer
16 years 11 hour ago
Task inference and distributed task management in the Centibots robotic system
We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
Charlie Ortiz, Régis Vincent, Benoit Moriss...