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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 7 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
ECAI
2008
Springer
15 years 5 months ago
An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
Ioannis Katakis, Grigorios Tsoumakas, Ioannis P. V...
SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
15 years 9 months ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...
125
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KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 7 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
TKDE
2010
151views more  TKDE 2010»
15 years 2 months ago
Duplicate-Insensitive Order Statistics Computation over Data Streams
—Duplicates in data streams may often be observed by the projection on a subspace and/or multiple recordings of objects. Without the uniqueness assumption on observed data elemen...
Ying Zhang, Xuemin Lin, Yidong Yuan, Masaru Kitsur...