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» Estimating Missing Data in Data Streams
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NSDI
2007
14 years 5 days ago
A Systematic Framework for Unearthing the Missing Links: Measurements and Impact
The lack of an accurate representation of the Internet topology at the Autonomous System (AS) level is a limiting factor in the design, simulation, and modeling efforts in inter-d...
Yihua He, Georgos Siganos, Michalis Faloutsos, Sri...
BMCBI
2004
113views more  BMCBI 2004»
13 years 9 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...
ISCA
2009
IEEE
143views Hardware» more  ISCA 2009»
14 years 4 months ago
Spatio-temporal memory streaming
Recent research advocates memory streaming techniques to alleviate the performance bottleneck caused by the high latencies of off-chip memory accesses. Temporal memory streaming r...
Stephen Somogyi, Thomas F. Wenisch, Anastasia Aila...
MLDM
2005
Springer
14 years 3 months ago
Statistical Supports for Frequent Itemsets on Data Streams
Abstract. A statistical technique is developed for estimating the support of itemsets on data streams, regardless of the size of the data stored. This technique, which is computati...
Pierre-Alain Laur, Jean-Emile Symphor, Richard Noc...
COMPGEOM
2004
ACM
14 years 3 months ago
Deterministic sampling and range counting in geometric data streams
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...
Amitabha Bagchi, Amitabh Chaudhary, David Eppstein...