Inductive visual Miner(IvM)
Inductive visual Miner 歸納視覺挖掘器（IvM）[5]將業務流程發現與一致性檢查結合在一起，爲用戶提供了易於使用的流程挖掘探索工具。 給定事件日誌，Inductive Visual Miner會自動發現一個過程模型，將該模型與事件日誌進行比較，並可視化一些增強功能，例如性能度量，隊列長度和動畫。所有步驟都是自動化的：如果您更改任何參數或更改任何過濾器，IvM都會自動更新所有必
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相關文章
- 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. 對Inductive Bias（概括偏置）的理解
- 7. Inductive Representation Learning on Large Graphs閱讀筆記
- 8. Relational inductive biases, deep learning, and graph networks
- 9. Inductive Representation Learning on Large Graphs 論文閱讀
- 10. 論文筆記: Inductive Representation Learning on Large Graphs