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Process Mining
[chapter]
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
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
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]
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
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]
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
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
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]
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]
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]
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]
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
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
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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