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» Dynamically maintaining frequent items over a data stream
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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 7 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
ICDE
2008
IEEE
123views Database» more  ICDE 2008»
16 years 7 months ago
Handling Non-linear Polynomial Queries over Dynamic Data
Applications that monitor functions over rapidly and unpredictably changing data, express their needs as continuous queries. Our focus is on a rich class of queries, expressed as p...
Shetal Shah, Krithi Ramamritham
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
16 years 4 days ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
PODC
2006
ACM
15 years 11 months ago
Sketching asynchronous streams over a sliding window
We study the problem of maintaining sketches of recent elements of a data stream. Motivated by applications involving network data, we consider streams that are asynchronous, in w...
Srikanta Tirthapura, Bojian Xu, Costas Busch
ICDCS
2007
IEEE
15 years 9 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal