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Table 4 MinerLSD #lm, #lme and execution time - small datasets, compared to #c of MinerLC for same core constraints

From: MinerLSD: efficient mining of local patterns on attributed networks

Lawyers 1-core #c = 3221 time = 1   
l 0.005 0.01 0.02 0.03 0.04 0.05 0.15
#lme 2929 2512 1970 1640 1365 1146 295
#lm 1238 738 308 87 39 5 0
time (s) 0 1 0 0 0 0 0
  2-core #c = 2080 time<1   
#lme 2080 1938 1670 1454 1265 1089 291
#lm 1262 775 322 104 41 7 0
time (s) 0 0 1 1 0 0 1
  3-core #c = 1302 time<1   
#lme 1302 1302 1215 1118 1024 920 282
#lm 1030 746 348 108 43 7 0
time (s) 0 0 1 0 0 0 0
  5-core #c = 463 time<1   
#lme 463 463 463 459 449 432 202
#lm 413 366 253 119 36 9 0
time (s) 0 0 1 1 0 0 0
  7-core #c = 155 time<1   
#lme 155 155 155 155 155 155 115
#lm 147 133 97 62 36 13 0
time (s) 1 1 0 0 0 1 0
CoExp 1-core #c = 196 time<1   
l 0.005 0.01 0.02 0.03 0.04 0.05 0.15
#lme 178 166 150 133 125 114 64
#lm 83 65 35 16 8 1 0
time (s) 0 0 0 0 0 0 1
  2-core #c = 172 time<1   
#lme 162 153 141 125 118 108 64
#lm 89 78 51 26 12 3 0
time (s) 0 0 0 1 0 0 0
  3-core #c = 138 time<1   
#lme 134 129 118 109 102 95 56
#lm 75 64 42 23 12 0 0
time (s) 0 0 0 0 0 0 0
  5-core #c = 62 time<1   
#lme 62 60 57 51 48 47 31
#lm 31 23 12 4 2 1 0
time (s) 1 0 0 0 1 0 0
  7-core #c = 37 time<1   
#lme 37 37 36 34 33 32 19
#lm 27 22 17 5 3 2 0
time (s) 0 0 0 0 0 0 0