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didattica:magistrale:pm:ay_1819:main [2018/11/15 14:27]
barbara [Study material]
didattica:magistrale:pm:ay_1819:main [2020/09/17 16:55] (current)
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 ===== News ===== ===== News =====
 <WRAP center round important 95%> <WRAP center round important 95%>
 +  * <wrap em>​**January 14th, 2019**</​wrap>:​ On Thursday January 17th there will be no lesson
   * <wrap em>​**October 25th, 2018**</​wrap>:​ Dear student due to an unforeseen engagement I cannot deliver today'​s lesson. ​   * <wrap em>​**October 25th, 2018**</​wrap>:​ Dear student due to an unforeseen engagement I cannot deliver today'​s lesson. ​
   * October 2nd, 2018: Next lesson will be delivered on October 4th   * October 2nd, 2018: Next lesson will be delivered on October 4th
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   * Introduction to Process Mining and Data Mining. Data. Logs. Play-in, Play Out and Reply. Fundamentals of Process Modelling.   * Introduction to Process Mining and Data Mining. Data. Logs. Play-in, Play Out and Reply. Fundamentals of Process Modelling.
   * From Event Logs to Process Models. Getting Data. Process Discovery. Discovery Techniques an Introduction. ​ Tools support an introduction:​ Apromore, Disco, and ProM.   * From Event Logs to Process Models. Getting Data. Process Discovery. Discovery Techniques an Introduction. ​ Tools support an introduction:​ Apromore, Disco, and ProM.
-  * Discovery Algorithms. Alfa, Inductive Miner, ​Heuristic ​Miner 6.0, Split Miner (SM)and ILP Miner. +  * Discovery Algorithms. Alfa,  Heuristic, ​Genetic ​Miner.
   * Conformance Checking. Business Alignment and Auditing. Token Replay. Process Drift. Business Process Model and Instances. Business Process Life-Cycle. Classification of Business Process.   * Conformance Checking. Business Alignment and Auditing. Token Replay. Process Drift. Business Process Model and Instances. Business Process Life-Cycle. Classification of Business Process.
    
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   * {{ :​didattica:​magistrale:​pm:​ay_1819:​gettingdata.pdf |Getting Data}}   * {{ :​didattica:​magistrale:​pm:​ay_1819:​gettingdata.pdf |Getting Data}}
   * {{ :​didattica:​magistrale:​pm:​ay_1819:​processdiscoveryanintroduction.pdf |Process Discovery an Introduction}}   * {{ :​didattica:​magistrale:​pm:​ay_1819:​processdiscoveryanintroduction.pdf |Process Discovery an Introduction}}
 +  * {{ :​didattica:​magistrale:​pm:​ay_1819:​processdiscoveryanintroduction.pdf |Alpha Algorithm: A Process Discovery Algorithm}}
 +  * {{ :​didattica:​magistrale:​pm:​ay_1819:​processdiscoveryintroduction.pdf |Alpha Algorithm: Limitation}}
 +  *  {{ :​didattica:​magistrale:​pm:​ay_1819:​advancedprocessdiscoverytechniques.pdf |Quality, Heuristic and Genetic mining}}
 +  * {{ :​didattica:​magistrale:​pm:​ay_1819:​simonelli.pdf |Mining Experience}} ({{ :​didattica:​magistrale:​pm:​ay_1819:​final_version_published.pdf |comparison}}) ({{ :​didattica:​magistrale:​pm:​ay_1819:​bustech_2017_1_30_90020.pdf |methodology}})
 +  * {{ :​didattica:​magistrale:​pm:​ay_1819:​04_conformance.pdf |Conformance Checking}}
 +  * {{ :​didattica:​magistrale:​pm:​ay_1819:​05_additional.pdf |Mining Additional Perspectives}}
 + 
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 +
  
 ** Streaming ** ** Streaming **
   * October 8th, 2019   * October 8th, 2019
 +  * [[https://​unicam.webex.com/​unicam/​ldr.php?​RCID=fe2bfba5c2586a1fb53df3f6df3967d3|January 7th, 2019]]
 +  * [[https://​unicam.webex.com/​unicam/​ldr.php?​RCID=6b05f179855dc44ac9c7db863fcfc483|January 14th, 2019]]
 +  * [[https://​unicam.webex.com/​unicam/​ldr.php?​RCID=04a7a61b1160c7f5e88c3c73e4573688|January 21st, 2019]]
  
 **Reference book:** **Reference book:**
-  * Process Mining: Data Science in Action by W.M.P. van der Aalst, Springer Verlag, 2016 (ISBN 978-3-662-49850-7).+  * Process Mining: Data Science in Action by W.M.P. van der Aalst, Springer Verlag, 2016 (ISBN 978-3-662-49850-7). From chapter 1 to 9
  
 **Tools:** **Tools:**