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Process Mining [chapter]

Peter M. D. Gray, Todd Eavis, Alfred Inselberg, Patrick Valduriez, Patrick Valduriez, Goetz Graefe, Goetz Graefe, Hans Zeller, Goetz Graefe, Esther Pacitti, Christoph Koch, Rui Zhang (+81 others)
2009 Encyclopedia of Database Systems  
The need to collect, to put into an ordered system all the historical information about process mining techniques implementations has led the creation of the very first version of " Process Mining: A Database  ...  The idea of creating the present database of applications came up within HSPI in 2016, during an informal meeting about process mining technology and its spread over several business -and not only -situations  ...  There are three classes of process mining techniques.  ... 
doi:10.1007/978-0-387-39940-9_1477 fatcat:efqm767tifcahgehubn4hjzh2e

Process mining

Wil van der Aalst
2012 SIGKDD Explorations  
Recently, the Task Force on Process Mining released the Process Mining Manifesto. The manifesto is supported by 53 organizations and 77 process mining experts contributed to it.  ...  The active contributions from end-users, tool vendors, consultants, analysts, and researchers illustrate the growing relevance of process mining as a bridge between data mining and business process modeling  ...  Figure 1 illustrates the scope of process mining. Starting point for process mining is an event log.  ... 
doi:10.1145/2207243.2207251 fatcat:kvqrsmf6a5dyfjuhxjcvsuf6wu

Process Mining

Wil van der Aalst
2012 ACM Transactions on Management Information Systems  
Process mining techniques use such logs to discover, analyze, and improve business processes. Recently, the Task Force on Process Mining released the Process Mining Manifesto.  ...  The practical relevance of process mining and the interesting scientific challenges make process mining one of the "hot" topics in Business Process Management (BPM).  ...  Process mining is related to data mining. Whereas classical data mining techniques are mostly data-centric [Hand et al. 2001 ], process mining is process-centric.  ... 
doi:10.1145/2229156.2229157 fatcat:gmrhbgvqqffvxbrz7nqai4q7o4

Process Mining [chapter]

2014 Encyclopedia of Social Network Analysis and Mining  
What data mining is for the data analyst and BI expert, Process Mining is for company management.  ...  The process-mining algorithms can reconstruct a process low from these traces.  ... 
doi:10.1007/978-1-4614-6170-8_100340 fatcat:75drftgsv5h3hcsdjqfuhfky2e

Process Mining Versus Intention Mining [chapter]

Ghazaleh Khodabandelou, Charlotte Hug, Rebecca Deneckère, Camille Salinesi
2013 Lecture Notes in Business Information Processing  
Process mining aims to discover, enhance or check the conformance of activity-oriented process models from event logs. A new field of research, called intention mining, recently emerged.  ...  This field has the same objectives as process mining but specifically addresses intentional process models (processes focused on the reasoning behind the activities).  ...  Process Mining This section browses a process mining literature overview.  ... 
doi:10.1007/978-3-642-38484-4_33 fatcat:xrcpntdxfbeg5l5pz37n63oyai

Process Mining for Clinical Processes

Andrew Partington, Moe Wynn, Suriadi Suriadi, Chun Ouyang, Jonathan Karnon
2015 ACM Transactions on Management Information Systems  
Business process analysis and process mining, particularly within the health care domain, remain underutilised.  ...  data, and cross-organisational comparisons with process mining techniques may be approached.  ...  Process Mining Process mining is a research discipline which focuses on providing evidence-based process analysis techniques and tools for effective process management.  ... 
doi:10.1145/2629446 fatcat:4t3ohpictnhjnklngql6aemdbu

Business Process Mining [article]

Asef Pourmasoumi, Ebrahim Bagheri
2016 arXiv   pre-print
Process mining includes three main types: discovering process models from event logs, conformance checking and organizational mining.  ...  In this paper, we briefly introduce process mining and review some of its most important techniques.  ...  Process mining is a bridge between data mining and process modeling/analysis. Process mining and data mining have many commonalities.  ... 
arXiv:1607.00607v1 fatcat:3mndidjjnrdvjcfh4hvzv7zup4

Link Mining Process

Zakea Il-Agure, Hicham Noureddine Itani
2017 International Journal of Data Mining & Knowledge Management Process  
Many data mining and knowledge discovery methodologies and process models have been developed, with varying degrees of success, there are three main methods used to discover patterns in data; KDD, SEMMA  ...  However, there is a well known methodology in knowledge discovery in databases, known as Cross Industry Standard Process for Data Mining (CRISPDM), developed by a consortium of several industrial companies  ...  Data pre-processing. The data pre-processing phase covers activities related to data cleansing and data integrity needed to construct the final dataset from the initial raw data.  ... 
doi:10.5121/ijdkp.2017.7304 fatcat:s45mefaes5btvjxyh3k6k6kfn4

Intentional Process Mining

Rebecca Deneckère, Charlotte Hug, Ghazaleh Khodabandelou, Camille Salinesi
2014 International Journal of Information System Modeling and Design  
While most Intention Mining techniques proposed so far focus on mining individual intentions to analyze web engine queries, this paper proposes a generic technique to mine intentions from activity traces  ...  The results are promising since we were able to find the intentions underlying the activities as well as the corresponding map process model with satisfying accuracy, efficiency and performance.  ...  The main contribution of this paper is that the mined intention process models make explicit and formalize the intentions that underlie the mined process traces.  ... 
doi:10.4018/ijismd.2014100102 fatcat:z62wbkkddnck3enq7nvfauv6pm

Process Mining Manifesto [chapter]

Wil van der Aalst, Arya Adriansyah, Ana Karla Alves de Medeiros, Franco Arcieri, Thomas Baier, Tobias Blickle, Jagadeesh Chandra Bose, Peter van den Brand, Ronald Brandtjen, Joos Buijs, Andrea Burattin, Josep Carmona (+65 others)
2012 Lecture Notes in Business Information Processing  
types of process mining.  ...  Process mining aims to do exactly that. Starting point for process mining is an event log.  ... 
doi:10.1007/978-3-642-28108-2_19 fatcat:xpe4kmt2ozckbc2kw6ldz7yugu

Genetic Process Mining [chapter]

W. M. P. van der Aalst, A. K. Alves de Medeiros, A. J. M. M. Weijters
2005 Lecture Notes in Computer Science  
We did so by applying genetic algorithms to perform process mining, and we call it genetic process mining.  ...  In our case, we have applied genetic algorithms [38, 61] to perform process mining. We call it genetic process mining.  ... 
doi:10.1007/11494744_5 fatcat:5or5zabuave2vpftpvdqfbiwvy

Visual Analytics in Process Mining: Classification of Process Mining Techniques [article]

Simone Kriglstein, Margit Pohl, Stefanie Rinderle-Ma, Magdalena Stallinger
2016 EuroVis Workshop on Visual Analytics (EuroVA)  
Since the process mining entails a strong explorative perspective, the combination of process mining and visual analytics methods is a fruitful multidisciplinary solution to enable the exploration and  ...  The increasing interest from industry and academia has driven the development of process mining techniques over the last years.  ...  However, a systematic analysis on how visual analytics is realized in existing process mining software such as Celonis [Cel16] , Fluxicon Disco [Flu12] , Perceptive Process Mining [Lex16] , QPR Process  ... 
doi:10.2312/eurova.20161123 dblp:conf/vissym/KriglsteinPRS16 fatcat:fer635tb7rbo5gs4yr5tz4vbgi

Mining Blockchain Processes: Extracting Process Mining Data from Blockchain Applications [chapter]

Christopher Klinkmüller, Alexander Ponomarev, An Binh Tran, Ingo Weber, Wil van der Aalst
2019 Lecture Notes in Business Information Processing  
However, extracting data that allows analysing the process view from blockchains is surprisingly hard. Therefore, blockchain data are rarely used for process mining.  ...  Blockchain technology has been gaining popularity as a platform for developing decentralized applications and executing cross-organisational processes.  ...  Background Process Mining and Process Event Data Process Mining.  ... 
doi:10.1007/978-3-030-30429-4_6 fatcat:svplascfrbhybb53ywazyamcly

Queue Mining: Service Perspectives in Process Mining

Arik Senderovich
2017 International Conference on Business Process Management  
We refer to process mining solutions of such questions as operational process mining. Other types of process mining subfields are beyond the scope of the present work.  ...  Contributions to Process Mining The thesis makes the following contributions to process mining: -The work integrates data-driven queueing modeling and analysis into operational process mining [13, 17,  ... 
dblp:conf/bpm/Senderovich17 fatcat:ln2wrrzqzbgpbilyvilwakxpz4

Mining Uncertain Event Data in Process Mining

Marco Pegoraro, Wil M.P. van der Aalst
2019 2019 International Conference on Process Mining (ICPM)  
Process mining techniques enable process-centric analysis of data, including automatically discovering process models and checking if event data conform to a certain model.  ...  Nowadays, more and more process data are automatically recorded by information systems, and made available in the form of event logs.  ...  them with existing process mining techniques.  ... 
doi:10.1109/icpm.2019.00023 dblp:conf/icpm/PegoraroA19 fatcat:yitm5aluove6dna5cwriedlfju
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