Incremental Process Discovery
暫譯: 增量式流程發現

Schuster, Daniel

Incremental Process Discovery
  • 出版商: Springer
  • 出版日期: 2025-04-06
  • 售價: $3,120
  • 貴賓價: 9.5 折 $2,964
  • 語言: 英文
  • 頁數: 367
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 303180564X
  • ISBN-13: 9783031805646

    • 海外代購書籍(需單獨結帳)

商品描述

This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany.

It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and event data handling, it also contributes to conformance checking, a further fundamental process mining task. Eventually, it presents Cortado, an open-source process mining software tool that implements the algorithms and techniques proposed in an integrated and comprehensive fashion. This part also includes a case study applying Cortado and, therefore, the various contributions of this thesis in a real-life scenario.

In 2024, this PhD dissertation won the "Best Process Mining PhD Dissertation Award" by the IEEE Task Force for Process Mining, granted to outstanding PhD theses in this field.

商品描述(中文翻譯)

本書是作者在德國亞琛工業大學（RWTH Aachen）撰寫的獲獎博士論文的修訂版。

本書提出了一個增量式過程發現框架，允許用戶從事件數據中迭代學習和完善過程模型。除了過程發現和事件數據處理外，本書還對符合性檢查（conformance checking）這一基本的過程挖掘任務做出了貢獻。最終，本書介紹了Cortado，一個開源的過程挖掘軟體工具，該工具以綜合且全面的方式實現了所提出的算法和技術。本部分還包括一個案例研究，應用Cortado，並因此展示了本論文在現實場景中的各種貢獻。

在2024年，這篇博士論文獲得了IEEE過程挖掘工作組頒發的「最佳過程挖掘博士論文獎」，該獎項授予該領域中傑出的博士論文。

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