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Process Mining
magnet:?xt=urn:btih:BD95B4B0E526097D147F52D7FA2B51CC50A526A5&dn=Process Mining
磁力链接详情
Hash值:
BD95B4B0E526097D147F52D7FA2B51CC50A526A5
点击数:
130
文件大小:
1.68 GB
文件数量:
50
创建日期:
2015-1-29 17:47
最后访问:
2024-7-1 02:17
访问标签:
Process
Mining
文件列表详情
3 - 6 - Lecture 2.6- Alpha Algorithm- A Process Discovery Algorithm (25 min.).mp4 53.69 MB
2 - 4 - Lecture 1.4- Learning Decision Trees (27 min.).mp4 52.25 MB
3 - 8 - Lecture 2.8- Introducing ProM and Disco (25 min.).mp4 51.59 MB
3 - 7 - Lecture 2.7- Alpha Algorithm- Limitations (23 min.).mp4 49.37 MB
5 - 2 - Lecture 4.2- Alternative Process Discovery Techniques (23 min.).mp4 49.36 MB
2 - 3 - Lecture 1.3- How Process Mining Relates to Data Mining (20 min.).mp4 48.41 MB
2 - 2 - Lecture 1.2- Different Types of Process Mining (21 min.).mp4 45.21 MB
4 - 4 - Lecture 3.4- Dependency Graphs and Causal Nets (21 min.).mp4 43.6 MB
5 - 8 - Lecture 4.8- Exploring Event Data (21 min.).mp4 42.3 MB
3 - 4 - Lecture 2.4- Transition Systems and Petri Net Properties (21 min.).mp4 41.71 MB
5 - 7 - Lecture 4.7- Aligning Observed and Modeled Behavior (18 min.).mp4 41.54 MB
4 - 1 - Lecture 3.1- Four Quality Criteria For Process Discovery (19 min.).mp4 41.43 MB
4 - 6 - Lecture 3.6- Learning Causal nets and Annotating Them (18 min.).mp4 39.81 MB
2 - 6 - Lecture 1.6- Association Rule Learning (18 min.).mp4 39.69 MB
4 - 8 - Lecture 3.8- Using Regions to Discover Concurrency (18 min.).mp4 39.48 MB
2 - 5 - Lecture 1.5- Applying Decision Trees (21 min.).mp4 39.14 MB
2 - 1 - Lecture 1.1- Data Science and Big Data (17 min.).mp4 38.07 MB
6 - 5 - Lecture 5.5- Mining Social Networks (17 min.).mp4 37.42 MB
4 - 2 - Lecture 3.2- On The Representational Bias of Process Mining (17 min.).mp4 36.77 MB
3 - 3 - Lecture 2.3- Petri Nets (2-2) (18 min.).mp4 36.69 MB
6 - 2 - Lecture 5.2- Mining Decision Points (17 min.).mp4 36.14 MB
7 - 1 - Lecture 6.1- Operational Support- Detect, Predict and Recommend (17 min.).mp4 35.87 MB
7 - 2 - Lecture 6.2- Getting the Right Event Data (17 min.).mp4 35.21 MB
4 - 5 - Lecture 3.5- Learning Dependency Graphs (21 min.).mp4 34.91 MB
7 - 4 - Lecture 6.4- Process Mining Software (16 min.).mp4 34.71 MB
3 - 5 - Lecture 2.5- Workflow Nets and Soundness (17 min.).mp4 34.66 MB
5 - 1 - Lecture 4.1- Two-Phase Process Discovery And Its Limitations (15 min.).mp4 34.32 MB
3 - 2 - Lecture 2.2- Petri Nets (1-2) (16 min.).mp4 33.85 MB
4 - 7 - Lecture 3.7- Learning Transition Systems (15 min.).mp4 32.82 MB
2 - 8 - Lecture 1.8- Evaluating Mining Results (15 min.).mp4 32 MB
5 - 5 - Lecture 4.5- Conformance Checking Using Token-Based Replay (15 min.).mp4 31.75 MB
4 - 3 - Lecture 3.3- Business Process Model and Notation (BPMN) (15 min.).mp4 31.18 MB
3 - 1 - Lecture 2.1- Event Logs and Process Models (14 min.).mp4 30.68 MB
5 - 6 - Lecture 4.6- Token Based Replay- Some Examples (15 min.).mp4 28.55 MB
7 - 8 - Lecture 6.8- Process Models as Maps (12 min.).mp4 28.24 MB
2 - 7 - Lecture 1.7- Cluster Analysis (13 min.).mp4 27.94 MB
6 - 1 - Lecture 5.1- About the Last Two Weeks of This Course (10 min.).mp4 27.54 MB
6 - 8 - Lecture 5.8- Comparative Process Mining Using Process Cubes (13 min.).mp4 27.15 MB
6 - 3 - Lecture 5.3- Discovering Data Aware Petri Nets (12 min.).mp4 26.25 MB
6 - 4 - Lecture 5.4- Mining Bottlenecks (11 min.).mp4 26.23 MB
6 - 7 - Lecture 5.7- Combining Different Perspectives (13 min.).mp4 25.42 MB
6 - 9 - Lecture 5.9- Refined Process Mining Framework (11 min.).mp4 25.37 MB
5 - 3 - Lecture 4.3- Introduction to Conformance Checking (12 min.).mp4 24.94 MB
7 - 3 - Lecture 6.3- Guidelines for Logging (10 min.).mp4 24.59 MB
7 - 5 - Lecture 6.5- How to Conduct a Process Mining Project (11 min.).mp4 24.55 MB
7 - 9 - Lecture 6.9- Data Science in Action (9 min.).mp4 22.77 MB
5 - 4 - Lecture 4.4- Conformance Checking Using Causal Footprints (10 min.).mp4 19.62 MB
6 - 6 - Lecture 5.6- Organizational Mining (9 min.).mp4 19.47 MB
7 - 7 - Lecture 6.7- Mining Spaghetti Processes (8 min.).mp4 19.31 MB
7 - 6 - Lecture 6.6- Mining Lasagna Processes (6 min.).mp4 12.71 MB
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