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This dataset contains the results (in .csv format) of experiments performed using the code from the paper "Minimizing Overprocessing Waste via Predictive Activity Ordering" (https://doi.org/10.1007/978-3-319-39696-5_12). Each file corresponds to an execution of the entire training & evaluation pipeline, each time with different random subsets of the full dataset. They contain the number of knockout checks performed with 3 different approaches (variable rejection probabilities, constant rejection probabilities, and random ordering).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 |

Views provided by UsageCounts