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» Algorithms for dynamic geometric problems over data streams
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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 9 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
CIKM
2004
Springer
14 years 24 days ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
CIDM
2007
IEEE
14 years 1 months ago
Incremental Local Outlier Detection for Data Streams
Outlier detection has recently become an important problem in many industrial and financial applications. This problem is further complicated by the fact that in many cases, outlie...
Dragoljub Pokrajac, Aleksandar Lazarevic, Longin J...
SSD
2007
Springer
171views Database» more  SSD 2007»
14 years 1 months ago
Transformation of Continuous Aggregation Join Queries over Data Streams
We address continuously processing an aggregation join query over data streams. Queries of this type involve both join and aggregation operations, with windows specified on join ...
Tri Minh Tran, Byung Suk Lee
CIKM
2006
Springer
13 years 11 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang