种子简介

种子名称： Process Mining
文件类型：
文件数目： 50个文件
文件大小： 1.68 GB
收录时间： 2015-1-29 17:47
已经下载： 3次
资源热度： 127
最近下载： 2024-5-5 19:18

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:BD95B4B0E526097D147F52D7FA2B51CC50A526A5&dn=Process Mining 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

Process Mining.torrent

3 - 6 - Lecture 2.6- Alpha Algorithm- A Process Discovery Algorithm (25 min.).mp453.69MB

2 - 4 - Lecture 1.4- Learning Decision Trees (27 min.).mp452.25MB

3 - 8 - Lecture 2.8- Introducing ProM and Disco (25 min.).mp451.59MB

3 - 7 - Lecture 2.7- Alpha Algorithm- Limitations (23 min.).mp449.37MB

5 - 2 - Lecture 4.2- Alternative Process Discovery Techniques (23 min.).mp449.36MB

2 - 3 - Lecture 1.3- How Process Mining Relates to Data Mining (20 min.).mp448.41MB

2 - 2 - Lecture 1.2- Different Types of Process Mining (21 min.).mp445.21MB

4 - 4 - Lecture 3.4- Dependency Graphs and Causal Nets (21 min.).mp443.6MB

5 - 8 - Lecture 4.8- Exploring Event Data (21 min.).mp442.3MB

3 - 4 - Lecture 2.4- Transition Systems and Petri Net Properties (21 min.).mp441.71MB

5 - 7 - Lecture 4.7- Aligning Observed and Modeled Behavior (18 min.).mp441.54MB

4 - 1 - Lecture 3.1- Four Quality Criteria For Process Discovery (19 min.).mp441.43MB

4 - 6 - Lecture 3.6- Learning Causal nets and Annotating Them (18 min.).mp439.81MB

2 - 6 - Lecture 1.6- Association Rule Learning (18 min.).mp439.69MB

4 - 8 - Lecture 3.8- Using Regions to Discover Concurrency (18 min.).mp439.48MB

2 - 5 - Lecture 1.5- Applying Decision Trees (21 min.).mp439.14MB

2 - 1 - Lecture 1.1- Data Science and Big Data (17 min.).mp438.07MB

6 - 5 - Lecture 5.5- Mining Social Networks (17 min.).mp437.42MB

4 - 2 - Lecture 3.2- On The Representational Bias of Process Mining (17 min.).mp436.77MB

3 - 3 - Lecture 2.3- Petri Nets (2-2) (18 min.).mp436.69MB

6 - 2 - Lecture 5.2- Mining Decision Points (17 min.).mp436.14MB

7 - 1 - Lecture 6.1- Operational Support- Detect, Predict and Recommend (17 min.).mp435.87MB

7 - 2 - Lecture 6.2- Getting the Right Event Data (17 min.).mp435.21MB

4 - 5 - Lecture 3.5- Learning Dependency Graphs (21 min.).mp434.91MB

7 - 4 - Lecture 6.4- Process Mining Software (16 min.).mp434.71MB

3 - 5 - Lecture 2.5- Workflow Nets and Soundness (17 min.).mp434.66MB

5 - 1 - Lecture 4.1- Two-Phase Process Discovery And Its Limitations (15 min.).mp434.32MB

3 - 2 - Lecture 2.2- Petri Nets (1-2) (16 min.).mp433.85MB

4 - 7 - Lecture 3.7- Learning Transition Systems (15 min.).mp432.82MB

2 - 8 - Lecture 1.8- Evaluating Mining Results (15 min.).mp432MB

5 - 5 - Lecture 4.5- Conformance Checking Using Token-Based Replay (15 min.).mp431.75MB

4 - 3 - Lecture 3.3- Business Process Model and Notation (BPMN) (15 min.).mp431.18MB

3 - 1 - Lecture 2.1- Event Logs and Process Models (14 min.).mp430.68MB

5 - 6 - Lecture 4.6- Token Based Replay- Some Examples (15 min.).mp428.55MB

7 - 8 - Lecture 6.8- Process Models as Maps (12 min.).mp428.24MB

2 - 7 - Lecture 1.7- Cluster Analysis (13 min.).mp427.94MB

6 - 1 - Lecture 5.1- About the Last Two Weeks of This Course (10 min.).mp427.54MB

6 - 8 - Lecture 5.8- Comparative Process Mining Using Process Cubes (13 min.).mp427.15MB

6 - 3 - Lecture 5.3- Discovering Data Aware Petri Nets (12 min.).mp426.25MB

6 - 4 - Lecture 5.4- Mining Bottlenecks (11 min.).mp426.23MB

6 - 7 - Lecture 5.7- Combining Different Perspectives (13 min.).mp425.42MB

6 - 9 - Lecture 5.9- Refined Process Mining Framework (11 min.).mp425.37MB

5 - 3 - Lecture 4.3- Introduction to Conformance Checking (12 min.).mp424.94MB

7 - 3 - Lecture 6.3- Guidelines for Logging (10 min.).mp424.59MB

7 - 5 - Lecture 6.5- How to Conduct a Process Mining Project (11 min.).mp424.55MB

7 - 9 - Lecture 6.9- Data Science in Action (9 min.).mp422.77MB

5 - 4 - Lecture 4.4- Conformance Checking Using Causal Footprints (10 min.).mp419.62MB

6 - 6 - Lecture 5.6- Organizational Mining (9 min.).mp419.47MB

7 - 7 - Lecture 6.7- Mining Spaghetti Processes (8 min.).mp419.31MB

7 - 6 - Lecture 6.6- Mining Lasagna Processes (6 min.).mp412.71MB