The exploratory techniques of the data are discussed using the r programming language. The data scientist also needs to relate data to process analysis. The coursera process mining course and accompanying process mining. There is also a free to read process mining in practice book by the same author. Data science in action from eindhoven university of technology. Process mining seeks the confrontation between event data observed. Aalsts seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. Process mining plays an essential role in digital transformation. It also contains many integrated examples and figures. First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline this second edition includes over 150 pages of new material, e. Big data discussions are a lot about dealing with enormous amounts of data while process mining can but does not need to be based on terabytes of data. Data science in action book provide a detailed background to these techniques and their applications in different industries.
The book gives both theoretical and practical knowledge of all data mining topics. Process mining is the missing link between modelbased process analysis. Modeling with data this book focus some processes to solve analytical problems applied to data. See an example for how to do that and learn more about the data quality problems in columnbased data sets in the chapter on missing timestamps for activity repetitions. Process mining seeks the confrontation between event data i. Every important topic is presented into two chapters, beginning with basic concepts that provide the necessary background for learning each data mining technique, then it covers more complex concepts and algorithms. Moreover, new challenges have emerged, not just in terms of size big data but also in terms of the questions to be answered. How big data relates to process mining and how it doesn. Process mining books ieee task force on process mining. The minimum data needed for process mining are two columns that record. Assess the suitability of your data process mining book 2. Process mining is mostly about mining structured data from a process perspective and can be used in conjunction with unstructured mining techniques such as text mining. Then you can use it for your process mining analysis but you need to restructure your data from a columnbased format to a rowbased format first.