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Big Data Computing
book

Big Data Computing

by Rajendra Akerkar
December 2013
Intermediate to advanced
564 pages
19h 54m
English
Chapman and Hall/CRC
Content preview from Big Data Computing
189Linked Data in Enterprise Integration
having a radius between 49 and 99 m. Thus, running the algorithms with
a threshold of 99 m led to only a small a priori overhead and HYPPO per-
forming remarkably well. Still, even on such data distributions,
HR
3
was
able to discard even more data and to reduce the number of unnecessary
computations by more than 50% relative. In the best case (experiment 4,
α
=
32, see Figure 5.6d),
HR
3
required approximately 4.13 × 10
6
less compari-
sons than HYPPO for
α
= 32. Even for the smallest setting (experiment 1, see
Figure5.6a),
HR
3
still required 0.64 × 10
6
less comparisons.
We also measured the runtimes of SILK, HYPPO, and
HR
3
. The best run-
times of the three algorithms for each of the tasks i
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Publisher Resources

ISBN: 9781466578388