Wil's References for the year 2018!

I try to update my webpage once per year and provide as many papers as possible. Enjoy reading! Click here to return to home page.

  1. W.M.P. van der Aalst. Markings in Perpetual Free-Choice Nets Are Fully Characterized by Their Enabled Transitions. In V. Khomenko and O. Roux, editors, Applications and Theory of Petri Nets 2018, volume 10877 of Lecture Notes in Computer Science, pages 315-336. Springer-Verlag, Berlin, 2018. Note the Erratum. Winner of the Petri Nets 2018 best paper award.
  2. W.M.P. van der Aalst. Spreadsheets for Business Process Management: Using Process Mining To Deal With "Events" Rather Than "Numbers". Business Process Management Journal, 24(1):105-127, 2018.
  3. W.M.P. van der Aalst. Process Discovery from Event Data: Relating Models and Logs Through Abstractions. WIREs Data Mining and Knowledge Discovery, 8(3), 2018.
  4. S.J.J. Leemans, D. Fahland, and W.M.P. van der Aalst. Scalable Process Discovery and Conformance Checking. Software and Systems Modeling, 17(2):599-631, 2018.
  5. N. Tax, N. Sidorova, W.M.P. van der Aalst, and R. Haakma. LocalProcessModelDiscovery: Bringing Petri Nets to the Pattern Mining World. In V. Khomenko and O. Roux, editors, Applications and Theory of Petri Nets 2018, volume 10877 of Lecture Notes in Computer Science, pages 374-384. Springer-Verlag, Berlin, 2018.
  6. S.J. van Zelst, B.F. van Dongen, W.M.P. van der Aalst, and H.M.W Verbeek. Discovering Workflow Nets Using Integer Linear Programming . Computing, 100(5):529-556, 2018.
  7. S.J. van Zelst, B.F. van Dongen, and W.M.P. van der Aalst. Event Stream-Based Process Discovery Using Abstract Representations. Knowledge and Information Systems, 54(2):407-435, 2018.
  8. A. Berti and W.M.P. van der Aalst. StarStar Models: Process Analysis on top of Databases. CoRR, abs/1811.08143, 2018.
  9. T. Jouck, A. Bolt, B. Depaire, M. de Leoni, and W.M.P. van der Aalst. An Integrated Framework for Process Discovery Algorithm Evaluation. CoRR, abs/1806.07222, 2018.
  10. W.M.P. van der Aalst. Markings in Perpetual Free-Choice Nets Are Fully Characterized by Their Enabled Transitions. CoRR, abs/1801.04315, 2018.
  11. N. Tax, X. Lu, N. Sidorova, D. Fahland, and W.M.P. van der Aalst. The Imprecisions of Precision Measures in Process Mining. Information Processing Letters, 135:1-8, 2018.
  12. W.M.P. van der Aalst. Discovering the "Glue" Connecting Activities - Exploiting Monotonicity to Learn Places Faster. In F. de Boer, M. Bonsangue, and J. Rutten, editors, It's All About Coordination, Lecture Notes in Computer Science, pages 1–-20. Springer-Verlag, Berlin, 2018.
  13. W.M.P. van der Aalst. Maciej Koutny 60: Congratulations! In V. Khomenko, editor, Harnessed Causality: Essays dedicated to Maciej Koutny on the occasion of his 60th birthday, pages 127-128. Newcastle University, UK, 2018.
  14. A. Heinzl, W.M.P. van der Aalst, and M. Bichler. Why the Community Should Care About Technology-Centric Journal Rankings. Business and Information Systems Engineering, 60(2):91-93, 2018.
  15. W.M.P. van der Aalst, M. Bichler, and A. Heinzl. Robotic Process Automation. Business and Information Systems Engineering, 60(4):269-272, 2018.
  16. W.M.P. van der Aalst. Mining Spaghetti and Lasagna Processes: Bridging the Gap Between Data Science and Process Science. In E. Thiry, X. Van Huffel, and H. Diricks, editors, Proceedings of the 14th Symposium of the Scientific Committee of the Belgian Food Safety Agency, pages 15-24. SciCom, 2018.
  17. W.M.P. van der Aalst, D. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. Lomazova, N. Loukachevitch, N. Napoli, A. Panchenko, P. Pardalos, A. Savchenko, and S. Wasserman, editors. Proceedings of Analysis of Images, Social Networks and Texts (AIST 2017), volume 10716 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 2018.
  18. W.M.P. van der Aalst, R. Bergenthum, and J. Carmona, editors. Proceedings of the International Workshop on Algorithms and Theories for the Analysis of Event Data (ATAED 2018), volume 2115 of CEUR Workshop Proceedings. CEUR-WS.org, 2018.
  19. W.M.P. van der Aalst. Relating Process Models and Event Logs: 21 Conformance Propositions. In Proceedings of the International Workshop on Algorithms and Theories for the Analysis of Event Data (ATAED 2018), volume 2115 of CEUR Workshop Proceedings, pages 56-74. CEUR-WS.org, 2018.
  20. W.M.P. van der Aalst, V. Batagelj, G. Glavas, D. Ignatov, M. Khachay, S. Kuznetsov, O. Koltsovaand I.A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. Pardalos, M. Pelillo, and A. Savchenko, editors. Proceedings of Analysis of Images, Social Networks and Texts (AIST 2018), volume 11179 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 2018.
  21. W.M.P. van der Aalst. Workflow Patterns. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  22. W.M.P. van der Aalst. Business Process Management. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  23. W.M.P. van der Aalst. Business Process Execution Language. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  24. W.M.P. van der Aalst. Business Process Modeling Notation. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  25. W.M.P. van der Aalst. Process Mining. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  26. W.M.P. van der Aalst. Workflow Model Analysis. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  27. W.M.P. van der Aalst. Composition. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  28. W.M.P. van der Aalst. Choreography. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  29. W.M.P. van der Aalst. Coordination. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  30. W.M.P. van der Aalst. Orchestration. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  31. W.M.P. van der Aalst. Petri Nets. In L. Liu and M. Tamer Özsu, editors, Encyclopedia of Database Systems. Springer-Verlag, Berlin, 2018.
  32. W.M.P. van der Aalst, F. Casati, R. Conforti, M. de Leoni, M. Dumas, A. Kumar, J. Mendling, S. Nepal, B. Pentland, and B. Weber, editors. Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 16th International Conference on Business Process Modeling (BPM 2018), Sydney, Australia, September 9-14, 2018, volume 2196 of CEUR Workshop Proceedings. CEUR-WS.org, 2018.
  33. W.M.P. van der Aalst. Desire Lines in Big Data. In R. Alhajj and J. Rokne, editors, Encyclopedia of Social Network Analysis and Mining. Springer-Verlag, Berlin, 2018.
  34. M. Leemans, W.M.P. van der Aalst, and M. van den Brand. The Statechart Workbench: Enabling Scalable Software Event Log Analysis Using Process Mining. In R.Oliveto, M. Di Penta, and D. Shepherd, editors, International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), pages 502-506. IEEE Computer Society, 2018.
  35. M. Leemans, W.M.P. van der Aalst, and M. van den Brand. Recursion Aware Modeling and Discovery for Hierarchical Software Event Log Analysis. In R.Oliveto, M. Di Penta, and D. Shepherd, editors, International Conference on Software Analysis, Evolution and Reengineering (SANER 2018), pages 185-196. IEEE Computer Society, 2018.
  36. A. Berti and W.M.P. van der Aalst. StarStar Models: Using Events at Database Level for Process Analysis. In P. Ceravolo, M.T. Gomez Lopez, and M. van Keulen, editors, International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018), volume 2270 of CEUR Workshop Proceedings, pages 60-64. CEUR-WS.org, 2018.
  37. M. Rafiei, L. von Waldthausen, and W.M.P. van der Aalst. Ensuring Confidentiality in Process Mining. In P. Ceravolo, M.T. Gomez Lopez, and M. van Keulen, editors, International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018), volume 2270 of CEUR Workshop Proceedings, pages 3-17. CEUR-WS.org, 2018. Winner of the SIMPDA 2018 best paper award.
  38. W.M.P. van der Aalst. Process Mining and Simulation: A Match Made in Heaven! In A. D'Ambrogio and G. Zacharewicz, editors, Computer Simulation Conference (SummerSim 2018), pages 1-12. ACM Press, 2018.
  39. N. Assy, B.F. van Dongen, and W.M.P. van der Aalst. Similarity Resonance for Improving Process Model Matching Accuracy. In H.M. Haddad, R.L. Wainwright, and R. Chbeir, editors, Annual ACM Symposium on Applied Computing (SAC 2018), pages 86-93. ACM Press, 2018.
  40. P.M. Dixit, J.C.A.M. Buijs, and W.M.P. van der Aalst. ProDiGy: Human-in-the-loop process discovery. In International Conference on Research Challenges in Information Science (RCIS2018), pages 1-12. IEEE Computer Society, 2018.
  41. W.M.P. van der Aalst, E. Best, and W. Penczek. Preface. Fundamenta Informaticae, 161(4):1-2, 2018.
  42. J. Yong, G. Fortino, W. Shen, Y. Yang, K.M. Chao, and W.M.P. van der Aalst. Special Issue on Service-Oriented Collaborative Computing and Applications. IEEE Transactions on Services Computing, 11(2):277-278, 2018.
  43. B. Hompes and W.M.P. van der Aalst. Lifecycle-Based Process Performance Analysis. In H. Panetto, C. Debruyne, H. Proper, C. Ardagna, D. Roman, and R. Meersman, editors, Proceedings of the OTM Conference on Cooperative Information Systems (CoopIS 2018), volume 11229 of Lecture Notes in Computer Science, pages 336-353. Springer-Verlag, Berlin, 2018.
  44. M. Fani Sani, S.J. van Zelst, and W.M.P. van der Aalst. Applying Sequence Mining for Outlier Detection in Process Mining. In H. Panetto, C. Debruyne, H. Proper, C. Ardagna, D. Roman, and R. Meersman, editors, Proceedings of the OTM Conference on Cooperative Information Systems (CoopIS 2018), volume 11230 of Lecture Notes in Computer Science, pages 98-116. Springer-Verlag, Berlin, 2018.
  45. C. Liu, B.F. van Dongen, N. Assy, and W.M.P. van der Aalst. Component Interface Identification and Behavioral Model Discovery From Software Execution Data. In F. Khomh, C.K. Roy, and J. Siegmund, editors, International Conference on Program Comprehension (ICPC 2018), pages 97-107. ACM Press, 2018.
  46. M. Leemans, W.M.P. van der Aalst, and M. van den Brand. Hierarchical Performance Analysis For Process Mining. In M. Kuhrmann, R.V. O'Connor, and D. Houston, editors, International Conference on Software and System Process (ICSSP 2018), pages 96-105. ACM Press, 2018.
  47. N. Tax, N. Sidorova, R. Haakma, and W.M.P. van der Aalst. Mining Local Process Models with Constraints Efficiently: Applications to the Analysis of Smart Home Data. In International Conference on Intelligent Environments (IE 2018), pages 56-63. IEEE Computer Society, 2018. Winner of the IE 2018 best paper award.
  48. G. Li, R. Medeiros de Carvalho, and W.M.P. van der Aalst. Configurable Event Correlation for Process Discovery from Object-Centric Event Data. In IEEE International Conference on Web Services (ICWS 2018), pages 203-210. IEEE Computer Society, 2018.
  49. M. Leemans, W.M.P. van der Aalst, M. van den Brand, R. Schiffelers, and L. Lensink. Software Process Analysis Methodology: A Methodology Based on Lessons Learned in Embracing Legacy Software. In International Conference on Software Maintenance and Evolution (ICSME 2018), pages 665-674. IEEE Computer Society, 2018.
  50. C. Liu, B.F. van Dongen, N. Assy, and W.M.P. van der Aalst. A General Framework to Detect Behavioral Design Patterns. In M. Chaudron, I. Crnkovic, M. Chechik, and M. Harman, editors, International Conference on Software Engineering, Companion Proceedings (ICSE 2018), pages 234-235. ACM Press, 2018.
  51. M.L. van Eck, E. Markslag, N. Sidorova, A. Brosens-Kessels, and W.M.P. van der Aalst. Data-Driven Usability Test Scenario Creation. In C. Bogdan, K. Kuusinen, M. Larusdottir, P. Palanque, and M. Winckler, editors, International Working Conference on Human-Centered Software Engineering (HCSE 2018), volume 11262 of Lecture Notes in Computer Science, pages 88-108. Springer-Verlag, Berlin, 2018.
  52. P.M. Dixit, H.M.W. Verbeek, and W.M.P. van der Aalst. Incremental Computation of Synthesis Rules for Free-Choice Petri Nets. In K.Bae and C.B. Olveczky, editors, International Conference on Formal Aspects of Component Software (FACS 2018), volume 11222 of Lecture Notes in Computer Science, pages 97-117. Springer-Verlag, Berlin, 2018.
  53. P.M. Dixit, H.M.W. Verbeek, J.C.A.M. Buijs, and W.M.P. van der Aalst. Interactive Data-Driven Process Model Construction. In J. Trujillo, K.C. Davis, X. Du, Z. Li, T.W. Ling, G. Li, and M.L. Lee, editors, International Conference on Conceptual Modeling (ER 2018), volume 11157 of Lecture Notes in Computer Science, pages 251-265. Springer-Verlag, Berlin, 2018.
  54. C. Liu, B.F. van Dongen, N. Assy, and W.M.P. van der Aalst. A Framework to Support Behavioral Design Pattern Detection from Software Execution Data. In E. Damiani, G. Spanoudakis, and L.A. Maciaszek, editors, International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2018), pages 65-76, Madeira, 2018. Scitepress.
  55. D. Calvanese, T.E. Kalayci, M. Montali, A. Santoso, and W.M.P. van der Aalst. Conceptual Schema Transformation in Ontology-Based Data Access. In C. Faron-Zucker, C. Ghidini, A. Napoli, and Y. Toussaint, editors, Knowledge Engineering and Knowledge Management (EKAW 2018), volume 11313 of Lecture Notes in Computer Science, pages 50-67. Springer-Verlag, Berlin, 2018.
  56. P.M. Dixit, H.M.W. Verbeek, and W.M.P. van der Aalst. Fast Conformance Analysis Based on Activity Log Abstraction. In IEEE International Enterprise Distributed Object Computing Conference (EDOC 2018), pages 135-144. IEEE Computer Society, 2018.
  57. D. Calvanese, T.E. Kalayci, M. Montali, A. Santoso, and W.M.P. van der Aalst. Conceptual Schema Transformation in Ontology-based Data Access. In International Workshop on Description Logics (DL 2018), volume 2211 of CEUR Workshop Proceedings. CEUR-WS.org, 2018.
  58. W.M.P. van der Aalst, E. Best, and W. Penczek, editors. Special Issue Based on Selected and Extended Papers from Petri Nets 2017, Fundamenta Informaticae, Volume 161, Number 4. IOS Press, Amsterdam, 2018.
  59. J. Yong, G. Fortino, W. Shen, Y. Yang, K.M. Chao, and W.M.P. van der Aalst, editors. Special Issue on Service-Oriented Collaborative Computing and Applications, Special Issue of IEEE Transactions on Services Computing, Volume 11, Number 2. IEEE Computer Society, 2018.
  60. P.M. Dixit, S. Suriadi, R. Andrews, M. Thandar Wynn, A.H.M. ter Hofstede, J.C.A.M. Buijs, and W.M.P. van der Aalst. Detection and Interactive Repair of Event Ordering Imperfection in Process Logs. In J. Krogstie and H.A. Reijers, editors, International Conference on Advanced Information Systems Engineering (CAiSE 2018), volume 10816 of Lecture Notes in Computer Science, pages 274-290. Springer-Verlag, Berlin, 2018.
  61. G. Li, E. González López de Murillas, R. Medeiros de Carvalho, and W.M.P. van der Aalst. Extracting Object-Centric Event Logs to Support Process Mining on Databases. In J. Mendling and H. Mouratidis, editors, Information Systems in the Big Data Era, CAiSE Forum 2018, volume 317 of Lecture Notes in Business Information Processing, pages 182-199. Springer-Verlag, Berlin, 2018.
  62. V. Bloemen, S.J. van Zelst, W.M.P. van der Aalst, B.F. van Dongen, and J. van de Pol. Maximizing Synchronization for Aligning Observed and Modelled Behaviour. In M. Weske, M. Montali, I. Weber, and J. vom Brocke, editors, International Conference on Business Process Management (BPM 2018), volume 11080 of Lecture Notes in Computer Science, pages 233-249. Springer-Verlag, Berlin, 2018. Winner of the BPM 2018 best student paper award.
  63. V. Denisov, D. Fahland, and W.M.P. van der Aalst. Unbiased, Fine-Grained Description of Processes Performance from Event Data. In M. Weske, M. Montali, I. Weber, and J. vom Brocke, editors, International Conference on Business Process Management (BPM 2018), volume 11080 of Lecture Notes in Computer Science, pages 139-157. Springer-Verlag, Berlin, 2018.
  64. V. Denisov, E. Belkina, D. Fahland, and W.M.P. van der Aalst. The Performance Spectrum Miner: Visual Analytics for Fine-Grained Performance Analysis of Processes. In Proceedings of the BPM Demo Track, volume 2196 of CEUR Workshop Proceedings, pages 96-100. CEUR-WS.org, 2018.
  65. W.L.J. Lee, J. Munoz-Gama, H.M.W. Verbeek, W.M.P. van der Aalst, and M. Sepulveda. Improving Merging Conditions for Recomposing Conformance Checking. In F. Daniel, Q.Z. Sheng, and H. Motahari, editors, Business Process Management Workshops, International Workshop on Business Process Intelligence (BPI 2018), volume 342 of Lecture Notes in Business Information Processing, pages 31-43. Springer-Verlag, Berlin, 2018.
  66. M.L. van Eck, N. Sidorova, and W.M.P. van der Aalst. Multi-instance Mining: Discovering Synchronisation in Artifact-Centric Processes. In F. Daniel, Q.Z. Sheng, and H. Motahari, editors, Business Process Management Workshops, International Workshop on Business Process Intelligence (BPI 2018), volume 342 of Lecture Notes in Business Information Processing, pages 18-30. Springer-Verlag, Berlin, 2018.
  67. D. Schunselaar, T. Slaats, F. Maggi, H.A. Reijers, and W.M.P. van der Aalst. Mining Hybrid Business Process Models: A Quest for Better Precision. In W. Abramowicz and A. Paschke, editors, Business Information Systems (BIS 2018), volume 320 of Lecture Notes in Business Information Processing, pages 190-205. Springer-Verlag, Berlin, 2018.
  68. P.M. Dixit, H.M.W. Verbeek J.C.A.M. Buijs, and W.M.P. van der Aalst. Fast Incremental Conformance Analysis for Interactive Process Discovery. In W. Abramowicz and A. Paschke, editors, Business Information Systems (BIS 2018), volume 320 of Lecture Notes in Business Information Processing, pages 163-175. Springer-Verlag, Berlin, 2018.
  69. M. Fani Sani, S.J. van Zelst, and W.M.P. van der Aalst. Repairing Outlier Behaviour in Event Logs. In W. Abramowicz and A. Paschke, editors, Business Information Systems (BIS 2018), volume 320 of Lecture Notes in Business Information Processing, pages 115-131. Springer-Verlag, Berlin, 2018.
  70. V. Bloemen, J. van de Pol, and W.M.P. van der Aalst. Symbolically Aligning Observed and Modelled Behaviour. In T. Chatain and R. Grosu, editors, International Conference on Application of Concurrency to System Design (ACSD 2018), pages 50-59. IEEE Computer Society, 2018.
  71. J. Mendling, I. Weber, W.M.P. van der Aalst, J. vom Brocke, C. Cabanillas, F. Daniel, S. Debois, C. Di Ciccio, M. Dumas, S. Dustdar, A. Gal, L Garcia-Banuelos, G. Governatori, R. Hull, M. La Rosa, H. Leopold, F. Leymann, J. Recker, M. Reichert, H.A. Reijers, S. Rinderle-Ma, A. Solti, M. Rosemann, S. Schulte, M. Singh, T. Slaats, M. Staples, B. Weber, M. Weidlich, M. Weske, X. Xu, and L. Zhu. Blockchains for Business Process Management: Challenges and Opportunities. ACM Transactions on Management Information Systems, 9(1):1-16, 2018.
  72. A.Bolt, M. de Leoni, and W.M.P. van der Aalst. Process Variant Comparison: Using Event Logs to Detect Differences in Behavior and Business Rules. Information Systems, 74(1):53-66, 2018.
  73. F. Mannhardt, M. de Leoni, H.A. Reijers, W.M.P. van der Aalst, and P.J. Toussaint. Guided Process Discovery: A Pattern-Based Approach. Information Systems, 76:1-18, 2018.
  74. S. Sakr, Z. Maamar, A. Awad, B. Benatallah, and W.M.P. van der Aalst. Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap. IEEE Access, 6:77308-77320, 2018.
  75. W.M.P. van der Aalst, J. Becker, M. Bichler, H.U. Buhl, J. Dibbern, U. Frank, U. Hasenkamp, A. Heinzl, O. Hinz, K.L. Hui, M. Jarke, D. Karagiannis, N. Kliewer, W. Koenig, J. Mendling, P. Mertens, M Rossi, S Voss, C. Weinhardt, R. Winter, and J. Zdravkovic. Views on the Past, Present, and Future of Business and Information Systems Engineering. Business and Information Systems Engineering, 60(6):443-477, 2018.
  76. N. Tax, B. Dalmas, N. Sidorova, W.M.P. van der Aalst, and S. Norre. Interest-Driven Discovery of Local Process Models. Information Systems, 77:105-117, 2018.
  77. W.J. Jonathan Lee, H.M.W. Verbeek, J. Munoz-Gama, W.M.P. van der Aalst, and M. Sepulveda. Recomposing Conformance: Closing the Circle on Decomposed Alignment-Based Conformance Checking in Process Mining. Information Sciences, 466:55-91, 2018.
  78. M. Alizadeh, X. Lu, D. Fahland, N. Zannone, and W.M.P. van der Aalst. Linking Data and Process Perspectives for Conformance Analysis. Computers and Security, 73:172-193, 2018.
  79. W.M.P. van der Aalst. Interview in the 2018 Gartner Market Guide for Process Mining, Research Note G00353970 by M. Kerremans. www.gartner.com, 2018.
  80. W.M.P. van der Aalst, V. Batagelj, G. Glavas, D. Ignatov, M. Khachay, S. Kuznetsov, O. Koltsovaand, I.A. Lomazova, N. Loukachevitch, A. Napoli, A. Panchenko, P. Pardalos, M. Pelillo, and A. Savchenko, editors. Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), volume 2268 of CEUR Workshop Proceedings. CEUR-WS.org, 2018.
  81. W.M.P. van der Aalst. Responsible Data Science in a Dynamic World: The Four Essential Elements of Data Science. In L. Strous and V.G. Cerf, editors, Internet of Things - Information Processing in an Increasingly Connected World, volume 548 of IFIP Advances in Information and Communication Technology, pages 3-10. Springer-Verlag, Berlin, 2018.