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SAC
2009
ACM
16 years 12 days ago
Parameterless outlier detection in data streams
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
Alice Marascu, Florent Masseglia
VLDB
2005
ACM
87views Database» more  VLDB 2005»
15 years 11 months ago
NILE-PDT: A Phenomenon Detection and Tracking Framework for Data Stream Management Systems
In this demo, we present Nile-PDT, a Phenomenon Detection and Tracking framework using the Nile data stream management system. A phenomenon is characterized by a group of streams ...
Mohamed H. Ali, Walid G. Aref, Raja Bose, Ahmed K....
SAC
2008
ACM
15 years 5 months ago
Continuous k-dominant skyline computation on multidimensional data streams
Skyline queries are important due to their usefulness in many application domains. However, by increasing the number of attributes, the probability that a tuple dominates another ...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
DEBS
2011
ACM
14 years 9 months ago
DejaVu: a complex event processing system for pattern matching over live and historical data streams
This short paper provides an overview of the DejaVu complex event processing (CEP) system, with an emphasis on its novel architecture and query optimization techniques for correla...
Nihal Dindar, Peter M. Fischer, Nesime Tatbul
VLDB
2003
ACM
172views Database» more  VLDB 2003»
16 years 5 months ago
Aurora: a new model and architecture for data stream management
This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substant...
Daniel J. Abadi, Donald Carney, Ugur Çetintemel, ...