Process-Mining-pELE
- 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.).mp443.60MB
- 5 - 8 - Lecture 4.8- Exploring Event Data (21 min.).mp442.30MB
- 3 - 4 - Lecture 2.4- Transition Systems and Petri Net Properties (21 min.).mp441.71MB
- 5 - 7 - Lecture 4.7- Aligning Observed and Modeled Behior (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.).mp432.00MB
- 5 - 5 - Lecture 4.5- Confornce Checking Using Token-ba< x> sed 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 ba< x> sed Replay- Some Examples (15 min.).mp428.55MB
- 7 - 8 - Lecture 6.8- Process Models as ps (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 fr< x> amework (11 min.).mp425.37MB
- 5 - 3 - Lecture 4.3- Introduction to Confornce 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- Confornce 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
- CreateTime2019-05-06
- UpdateTime2019-05-06
- FileTotalCount50
- TotalSize3.35GBHotTimes6ViewTimes10DMCA Report EmailmagnetLinkThunderTorrent DownBaiduYunLatest Search: 1.MIDD-993 2.JUC-072 3.AUKG-144 4.SHKD-471 5.KDMI-015 6.NJPDS-0147 7.RKI-256 8.RKI-140 9.KIBD-096 10.ALD-363 11.SBB-136 12.AXAZ-003 13.LHJF-004 14.MOBSP-012 15.REAL-407 16.NAW-074 17.CYAL-002 18.SUGAD-26 19.MXSPS-182 20.VENU-280 21.DJNO-85 22.DVH-548 23.UPSM-176 24.ARM-112 25.RKI-144 26.ONSD-414 27.RKI-220 28.DJNO-65 29.MIBD-697 30.MIDV-021 31.RKI-103 32.MDED-050 33.ONSD-656 34.ONSD-499 35.NSPS-189 36.HUNT-186 37.SOE-725 38.MKCK-055 39.CWM-179 40.RKI-220 41.MIBD-523 42.CADV-234 43.LADYL-004 44.XV-763 45.AGEMIX-095 46.PMH-182 47.DSOT-010 48.GAS-246 49.DSE-797 50.VNDS-2965 51.WIFE-48 52.OOMN-059 53.JS-009 54.SD-0924 55.DAJM-023 56.MAMA-348 57.JSON-001 58.IFD-076 59.ARD-38 60.MDB-400 61.WS-102 62.HS-117 63.BKSP-113 64.VS-503 65.RDB-028 66.DGUL-002 67.KA-1077 68.GPS-215 69.MAMA-174 70.P-1300016 71.993 72.072 73.144 74.471 75.015 76.0147 77.256 78.140 79.096 80.363 81.136 82.003 83.004 84.012 85.407 86.074 87.002 88.26 89.182 90.280 91.85 92.548 93.176 94.112 95.144 96.414 97.220 98.65 99.697 100.021 101.103 102.050 103.656 104.499 105. 106.186 107.725 108.055 109.179 110.220 111.523 112.234 113.004 114.763 115.095 116.182 117.010 118.246 119.797 120.2965 121.48 122.059 123.009 124.0924 125.023 126.348 127.001 128.076 129.38 130.400 131.102 132.117 133.113 134.503 135.028 136.002 137.1077 138.215 139.174 140.1300016