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VLDB
2005
ACM
87views Database» more  VLDB 2005»
15 years 3 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....
EDBT
2009
ACM
165views Database» more  EDBT 2009»
14 years 7 months ago
Exploiting the power of relational databases for efficient stream processing
Stream applications gained significant popularity over the last years that lead to the development of specialized stream engines. These systems are designed from scratch with a di...
Erietta Liarou, Romulo Goncalves, Stratos Idreos
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
15 years 3 months ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo
ICDE
2012
IEEE
233views Database» more  ICDE 2012»
13 years 9 days ago
Accuracy-Aware Uncertain Stream Databases
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
Tingjian Ge, Fujun Liu
DBISP2P
2003
Springer
152views Database» more  DBISP2P 2003»
15 years 3 months ago
An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...
Ahmet Bulut, Roman Vitenberg, Fatih Emekçi,...