Inductive visual Miner(IvM)
Inductive visual Miner 归纳视觉挖掘器（IvM）[5]将业务流程发现与一致性检查结合在一起，为用户提供了易于使用的流程挖掘探索工具。 给定事件日志，Inductive Visual Miner会自动发现一个过程模型，将该模型与事件日志进行比较，并可视化一些增强功能，例如性能度量，队列长度和动画。所有步骤都是自动化的：如果您更改任何参数或更改任何过滤器，IvM都会自动更新所有必
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相关文章
- 1. ProM6.8 inductive miner
- 2. Inductive Representation Learning on Large Graphs
- 3. GraphSAINT: Graph Sampling Based Inductive Learning Method
- 4. A differentiable approach to inductive logic programming
- 5. Paper Notes: Inductive Representation Learning on Large Graphs
- 6. 对Inductive Bias（概括偏置）的理解
- 7. Inductive Representation Learning on Large Graphs阅读笔记
- 8. Relational inductive biases, deep learning, and graph networks
- 9. Inductive Representation Learning on Large Graphs 论文阅读
- 10. 论文笔记: Inductive Representation Learning on Large Graphs