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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
12 years 1 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
VLDB
2004
ACM
227views Database» more  VLDB 2004»
12 years 3 months ago
Approximate NN queries on Streams with Guaranteed Error/performance Bounds
In data stream applications, data arrive continuously and can only be scanned once as the query processor has very limited memory (relative to the size of the stream) to work with...
Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhan...
PODS
2003
ACM
143views Database» more  PODS 2003»
12 years 10 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
12 years 10 months ago
Holistic UDAFs at streaming speeds
Many algorithms have been proposed to approximate holistic aggregates, such as quantiles and heavy hitters, over data streams. However, little work has been done to explore what t...
Graham Cormode, Theodore Johnson, Flip Korn, S. Mu...
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
12 years 10 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
12 years 10 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
12 years 10 months ago
Approximately detecting duplicates for streaming data using stable bloom filters
Traditional duplicate elimination techniques are not applicable to many data stream applications. In general, precisely eliminating duplicates in an unbounded data stream is not f...
Fan Deng, Davood Rafiei
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
12 years 11 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
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