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. Author manuscript; available in PMC: 2017 Jun 2.
Published in final edited form as: KDD. 2016 Aug;2016:1585–1594. doi: 10.1145/2939672.2939851

Table 3.

Comparison of the running time (in seconds) for the QUIC, Big-QUIC, BCDIC and QUIC&Dirty methods on real-world data. The NNZ’s for the QUIC, Big-QUIC and BCDIC methods are around 10p by choosing their regularization parameter ρ.

Data p ρ NNZ NLLte QUIC Big-QUIC BCDIC ρ1 ρ2 NLLte QUIC&Dirty
Snow 9, 148 0.982 108,246 10639.1 282.3 243.5 72.0 0.982 10 10439.0 3174.2
Air 10, 512 0.975 105,636 12250.3 660.5 539.4 129.1 0.975 10 11965.7 7060.8
Precip 13, 610 0.820 132,200 13992.1 1680.9 1213.6 483.0 0.820
OLR 21, 720 0.988 223,936 25647.9 3650.2 2989.0 544.2 0.988
Stock 21, 602 0.985 221,053 24814.7 3990.6 3212.7 634.1 0.985

‘−’ indicates that the corresponding methods do not return a result after running over 5 hours for all choices of ρ2 ∈ {0.1, 1, 10}.