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VLDB
2005
ACM
87views Database» more  VLDB 2005»
14 years 1 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....
CORR
2006
Springer
186views Education» more  CORR 2006»
13 years 7 months ago
SASE: Complex Event Processing over Streams
RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of dat...
Daniel Gyllstrom, Eugene Wu 0002, Hee-Jin Chae, Ya...
DAMON
2008
Springer
13 years 9 months ago
CAM conscious integrated answering of frequent elements and top-k queries over data streams
Frequent elements and top-k queries constitute an important class of queries for data stream analysis applications. Certain applications require answers for both frequent elements...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
ICDE
2008
IEEE
163views Database» more  ICDE 2008»
14 years 9 months ago
XStream: a Signal-Oriented Data Stream Management System
Sensors capable of sensing phenomena at high data rates on the order of tens to hundreds of thousands of samples per second are now widely deployed in many industrial, civil engine...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
SIGMOD
2007
ACM
188views Database» more  SIGMOD 2007»
14 years 7 months ago
Keyword search on relational data streams
Increasing monitoring of transactions, environmental parameters, homeland security, RFID chips and interactions of online users rapidly establishes new data sources and applicatio...
Alexander Markowetz, Yin Yang, Dimitris Papadias