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CIKM
2009
Springer
13 years 9 months ago
Mining data streams with periodically changing distributions
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
Yingying Tao, M. Tamer Özsu
EDBT
2011
ACM
209views Database» more  EDBT 2011»
12 years 9 months ago
An optimal strategy for monitoring top-k queries in streaming windows
Continuous top-k queries, which report a certain number (k) of top preferred objects from data streams, are important for a broad class of real-time applications, ranging from fi...
Di Yang, Avani Shastri, Elke A. Rundensteiner, Mat...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
14 years 5 months ago
Adaptive Ordering of Pipelined Stream Filters
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
Shivnath Babu, Rajeev Motwani, Kamesh Munagala, It...
SSDBM
2005
IEEE
111views Database» more  SSDBM 2005»
13 years 11 months ago
Querying Streaming Geospatial Image Data: The GeoStreams Project
Data products generated from remotely-sensed, geospatial imagery (RSI) used in emerging areas, such as global climatology, environmental monitoring, land use, and disaster managem...
Quinn Hart, Michael Gertz
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
14 years 5 days ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...