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» Tight results for clustering and summarizing data streams
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SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-topic Based Query-Oriented Summarization.
Query-oriented summarization aims at extracting an informative summary from a document collection for a given query. It is very useful to help users grasp the main information rel...
Dewei Chen, Jie Tang, Limin Yao
NIPS
2008
13 years 9 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...
WACV
2012
IEEE
12 years 3 months ago
LOST: Longterm Observation of Scenes (with Tracks)
We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, ...
Austin Abrams, Jim Tucek, Joshua Little, Nathan Ja...
ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 2 months ago
How to scalably and accurately skip past streams
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
Supratik Bhattacharyya, André Madeira, S. M...
ICDE
2005
IEEE
106views Database» more  ICDE 2005»
14 years 9 months ago
Effective Computation of Biased Quantiles over Data Streams
Skewis prevalentin manydata sourcessuchas IP traffic streams. To continually summarize the distribution of such data, a highbiased set of quantiles (e.g., 50th, 90th and 99th perc...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...