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Table 6 Model reuse in KDD-CUP dataset with StreamKM++ algorithm

From: Learning in the presence of concept recurrence in data stream clustering

Learning methodology Model created at Reused at
Fixed window .5 × 105 .95 × 105, 1.35 × 105, 1.45 × 105, 1.55 × 105, 1.6 × 105 to 3.4 × 105
.7 × 105 1.05 × 105 to 1.3 × 105, 1.4 × 105, 1.5 × 105, 3.5 × 105 to 4 × 105,4.55 × 105 to 4.8 × 105
.9 × 105 1 × 105, 1.2 × 105, 4.45 × 105, 4.5 × 105
4.05 × 105 4.15 × 105 to 4.40 × 105
Explicit drift detection .4328 × 105 .75467 × 105, .76075 × 105, .79928 × 105, .80461 × 105, .80937 × 105
1.32245 × 105 1.33730 × 105, 1.38835 × 105, 1.39453 × 105, 3.35448 × 105, 3.37979 × 105, 3.39416 × 105
1.36239 × 105 3.34565 × 105
1.34581 × 105 4.45803 × 105, 4.50003 × 105