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SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
15 years 10 months ago
Sampling time-based sliding windows in bounded space
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
Rainer Gemulla, Wolfgang Lehner
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
15 years 10 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
15 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
2005
ACM
166views Database» more  SIGMOD 2005»
15 years 10 months ago
Substructure Similarity Search in Graph Databases
Advanced database systems face a great challenge raised by the emergence of massive, complex structural data in bioinformatics, chem-informatics, and many other applications. The ...
Xifeng Yan, Philip S. Yu, Jiawei Han
PODS
2005
ACM
151views Database» more  PODS 2005»
15 years 10 months ago
Estimating arbitrary subset sums with few probes
Suppose we have a large table T of items i, each with a weight wi, e.g., people and their salary. In a general preprocessing step for estimating arbitrary subset sums, we assign e...
Noga Alon, Nick G. Duffield, Carsten Lund, Mikkel ...
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