Coursera Process Mining Data science in Action | 9EE32CB11FAA765C8A473919FE2CB02565963758

Coursera Process Mining Data science in Action

Name	Coursera - Process Mining: Data science in Action	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.8 GB
Total Files	50
Hash	9EE32CB11FAA765C8A473919FE2CB02565963758

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4 - 2 - Lecture 3.2- On The Representational Bias of Process Mining (17 min.).mp4	38.6 MB
5 - 3 - Lecture 4.3- Introduction to Conformance Checking (12 min.).mp4	26.2 MB
5 - 6 - Lecture 4.6- Token Based Replay- Some Examples (15 min.).mp4	29.9 MB
6 - 9 - Lecture 5.9- Refined Process Mining Framework (11 min.).mp4	26.6 MB
6 - 5 - Lecture 5.5- Mining Social Networks (17 min.).mp4	39.2 MB
6 - 2 - Lecture 5.2- Mining Decision Points (17 min.).mp4	37.9 MB
4 - 5 - Lecture 3.5- Learning Dependency Graphs (21 min.).mp4	36.6 MB
5 - 4 - Lecture 4.4- Conformance Checking Using Causal Footprints (10 min.).mp4	20.6 MB
6 - 6 - Lecture 5.6- Organizational Mining (9 min.).mp4	20.4 MB
4 - 4 - Lecture 3.4- Dependency Graphs and Causal Nets (21 min.).mp4	45.7 MB
7 - 1 - Lecture 6.1- Operational Support- Detect, Predict and Recommend (17 min.).mp4	37.6 MB
3 - 4 - Lecture 2.4- Transition Systems and Petri Net Properties (21 min.).mp4	43.7 MB
7 - 3 - Lecture 6.3- Guidelines for Logging (10 min.).mp4	25.8 MB
3 - 5 - Lecture 2.5- Workflow Nets and Soundness (17 min.).mp4	36.3 MB
3 - 3 - Lecture 2.3- Petri Nets (2-2) (18 min.).mp4	38.5 MB
5 - 1 - Lecture 4.1- Two-Phase Process Discovery And Its Limitations (15 min.).mp4	36.0 MB
6 - 1 - Lecture 5.1- About the Last Two Weeks of This Course (10 min.).mp4	28.9 MB
4 - 6 - Lecture 3.6- Learning Causal nets and Annotating Them (18 min.).mp4	41.7 MB
6 - 3 - Lecture 5.3- Discovering Data Aware Petri Nets (12 min.).mp4	27.5 MB
5 - 7 - Lecture 4.7- Aligning Observed and Modeled Behavior (18 min.).mp4	43.6 MB
4 - 7 - Lecture 3.7- Learning Transition Systems (15 min.).mp4	34.4 MB
2 - 4 - Lecture 1.4- Learning Decision Trees (27 min.).mp4	54.8 MB
6 - 4 - Lecture 5.4- Mining Bottlenecks (11 min.).mp4	27.5 MB
2 - 2 - Lecture 1.2- Different Types of Process Mining (21 min.).mp4	47.4 MB
5 - 2 - Lecture 4.2- Alternative Process Discovery Techniques (23 min.).mp4	51.8 MB
7 - 8 - Lecture 6.8- Process Models as Maps (12 min.).mp4	29.6 MB
6 - 7 - Lecture 5.7- Combining Different Perspectives (13 min.).mp4	26.7 MB
5 - 5 - Lecture 4.5- Conformance Checking Using Token-Based Replay (15 min.).mp4	33.3 MB
3 - 8 - Lecture 2.8- Introducing ProM and Disco (25 min.).mp4	54.1 MB
2 - 7 - Lecture 1.7- Cluster Analysis (13 min.).mp4	29.3 MB
2 - 5 - Lecture 1.5- Applying Decision Trees (21 min.).mp4	41.0 MB
2 - 6 - Lecture 1.6- Association Rule Learning (18 min.).mp4	41.6 MB
2 - 1 - Lecture 1.1- Data Science and Big Data (17 min.).mp4	39.9 MB
7 - 7 - Lecture 6.7- Mining Spaghetti Processes (8 min.).mp4	20.2 MB
6 - 8 - Lecture 5.8- Comparative Process Mining Using Process Cubes (13 min.).mp4	28.5 MB
7 - 2 - Lecture 6.2- Getting the Right Event Data (17 min.).mp4	36.9 MB
3 - 2 - Lecture 2.2- Petri Nets (1-2) (16 min.).mp4	35.5 MB
7 - 6 - Lecture 6.6- Mining Lasagna Processes (6 min.).mp4	13.3 MB
2 - 8 - Lecture 1.8- Evaluating Mining Results (15 min.).mp4	33.6 MB
4 - 3 - Lecture 3.3- Business Process Model and Notation (BPMN) (15 min.).mp4	32.7 MB
7 - 5 - Lecture 6.5- How to Conduct a Process Mining Project (11 min.).mp4	25.7 MB
3 - 7 - Lecture 2.7- Alpha Algorithm- Limitations (23 min.).mp4	51.8 MB
5 - 8 - Lecture 4.8- Exploring Event Data (21 min.).mp4	44.4 MB
2 - 3 - Lecture 1.3- How Process Mining Relates to Data Mining (20 min.).mp4	50.8 MB
3 - 1 - Lecture 2.1- Event Logs and Process Models (14 min.).mp4	32.2 MB
4 - 8 - Lecture 3.8- Using Regions to Discover Concurrency (18 min.).mp4	41.4 MB
7 - 9 - Lecture 6.9- Data Science in Action (9 min.).mp4	23.9 MB
4 - 1 - Lecture 3.1- Four Quality Criteria For Process Discovery (19 min.).mp4	43.4 MB
3 - 6 - Lecture 2.6- Alpha Algorithm- A Process Discovery Algorithm (25 min.).mp4	56.3 MB
7 - 4 - Lecture 6.4- Process Mining Software (16 min.).mp4	36.4 MB
Total files 50