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» Deterministic algorithms for sampling count data
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DKE
2008
109views more  DKE 2008»
13 years 4 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
COMPGEOM
2004
ACM
13 years 10 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...
SIGMOD
2000
ACM
141views Database» more  SIGMOD 2000»
13 years 8 months ago
Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer
Testing an SQL database system by running large sets of deterministic or stochastic SQL statements is common practice in commercial database development. However, code defects oft...
Florian Waas, César A. Galindo-Legaria
ASIAN
2004
Springer
180views Algorithms» more  ASIAN 2004»
13 years 10 months ago
Counting by Coin Tossings
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
Philippe Flajolet
SPIRE
2009
Springer
13 years 9 months ago
Faster Algorithms for Sampling and Counting Biological Sequences
Abstract. A set of sequences S is pairwise bounded if the Hamming distance between any pair of sequences in S is at most 2d. The Consensus Sequence problem aims to discern between ...
Christina Boucher