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Fig 1.

A flow chart describing all steps involved in RLA-CL.

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Fig 1 Expand

Table 1.

A comparison among TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a low error rate).

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Table 1 Expand

Fig 2.

A comparison of running times of TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a low error rate).

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Fig 2 Expand

Fig 3.

A comparison of Type I accuracies of TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a low error rate).

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Table 2.

blackComputation of accuracy of TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a low error rate).

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Table 2 Expand

Fig 4.

A comparison of accuracies of TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a low error rate).

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Fig 4 Expand

Table 3.

A comparison among TPA(FCED), RLA and RLA-CL on simulated data sets (generated with a very high error rate).

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Table 3 Expand

Table 4.

A comparison of runtime and accuracy using SSN-LN, SSN and LN as blocking fields.

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Fig 5.

A comparison of running time for variations of blocking attributes.

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Fig 6.

A comparison of Type I accuracy for variations of blocking attributes.

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Table 5.

Distribution of running time when blocking on SSN field.

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Table 5 Expand

Fig 7.

Running time distribution of RLA-CL.

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Fig 8.

Running time of PRLA-CL for 3.2M and 6.4M records.

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Fig 9.

Speedup of PRLA-CL for 3.2M and 6.4M records.

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Table 6.

Distribution of running time on multiple cores.

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Table 6 Expand