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Mining Process Mining Practices: An Exploratory Characterization of Information Needs in Process Analytics [chapter]

Christopher Klinkmüller, Richard Müller, Ingo Weber
2019 Lecture Notes in Computer Science  
Therefore, our goal is to better understand the specific information needs of process analysts.  ...  Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques, visual idioms, methodologies, and tools.  ...  of process mining and analytics.  ... 
doi:10.1007/978-3-030-26619-6_21 fatcat:b53gj2swxjcpte46633vokwbee

Process mining in oncology: A literature review

Angelina Prima Kurniati, Owen Johnson, David Hogg, Geoff Hall
2016 2016 6th International Conference on Information Communication and Management (ICICM)  
Process mining, an emerging data analytics method, has been used effectively in various healthcare contexts including oncology, the study of cancer.  ...  Process mining of the e-health records of cancer patients may play an important future role and this paper presents a literature review of process mining in oncology as a contribution to this research.  ...  INTRODUCTION Process mining is an emerging field which utilizes automatically generated event logs in information systems for data analytics.  ... 
doi:10.1109/infocoman.2016.7784260 fatcat:67yqrssylfeztngweijui2l2ki

NEW POSSIBILITIES FOR PROCESS ANALYSIS IN AN UNDERGROUND MINE

Edyta Brzychczy, Agnieszka Trzcionkowska
2017 Scientific Papers of Silesian University of Technology. Organization and Management Series  
An example of their application in analysis of roof support operation process in underground coal mine is presented.  ...  For the purpose of identification and analysis of processes in the underground mine, process mining techniques were proposed.  ...  Characteristic of selected process Two main mining methods are used in practice: underground and, more common, surface method.  ... 
doi:10.29119/1641-3466.2017.111.1 fatcat:awcqvaoinzgabgq6nv6y2qufmq

Knowledge discovery processing and data mining in karyometry

Peter H Bartels, Rodolfo Montironi, Marina Scarpelli, Hubert G Bartels, David S Alberts
2009 Analytical and quantitative cytology and histology  
In none of these instances would the information of biologic interest have been revealed by a straightforward, single algorithmic analysis.  ...  Evidence for chemopreventive efficacy was demonstrated in the first example only after processing identified the small subpopulation of affected nuclei in a study of breast epithelial cells.  ...  Acknowledgments Grant funding: This study was supported in part by grant numbers, P30 CA23074, P01CA27502, P01CA04110, from the National Institutes of Health.  ... 
pmid:19634783 pmcid:PMC4029779 fatcat:djn7qplo3zedndnc7cjm5czpmi

Process Mining Contributions to Discrete-event Simulation Modelling

Mario Jadrić, Ivana Ninčević Pašalić, Maja Ćukušić
2020 Business Systems Research  
Recently, the links between process mining and simulation modelling have become an area of interest.Objectives: The objective of the paper was to demonstrate and assess the role of process mining results  ...  AbstractBackground: Over the last 20 years, process mining has become a vibrant research area due to the advances in data management technologies and techniques and the advent of new process mining tools  ...  The practical implications of conceptualising a simulation study based on the results of a process mining case in an educational environment are numerous.  ... 
doi:10.2478/bsrj-2020-0015 fatcat:a35ebqq5sfaz7hulz6mrr6rv5m

Software Development Process Mining: Discovery, Conformance Checking and Enhancement

Joao Caldeira, Fernando Brito e Abreu
2016 2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)  
practices, and characterization of developers' behaviors.  ...  a SLR on Software Development Analytics in practice.  ...  This Appendix presents the tools used to perform current research and in writing this dissertation. A.1 Companion Tools  ... 
doi:10.1109/quatic.2016.061 dblp:conf/quatic/CaldeiraA16 fatcat:acb3seoe7vh6hamsvwor2qzcou

A systematic mapping study of process mining

Ana Rocío Cárdenas Maita, Lucas Corrêa Martins, Carlos Ramón López Paz, Laura Rafferty, Patrick C. K. Hung, Sarajane Marques Peres, Marcelo Fantinato
2017 Figshare  
The analysis of 705 papers evidenced 'discovery (71%) as the main type of process mining addressed and 'categorical prediction (25%) as the main mining task solved.  ...  Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.  ...  Conf. on Information Reuse and In- tegration (IRI) Lai, C.-H.; Liu, D.-R. Mining knowledge flow for modeling the information needs of task-based groups 2008 C Int.  ... 
doi:10.6084/m9.figshare.5619598.v1 fatcat:nvnam7nlgjabpl5kw3em4nyie4

A systematic mapping study of process mining

Ana Rocío Cárdenas Maita, Lucas Corrêa Martins, Carlos Ramón López Paz, Laura Rafferty, Patrick C. K. Hung, Sarajane Marques Peres, Marcelo Fantinato
2017 Figshare  
The analysis of 705 papers evidenced 'discovery' (71%) as the main type of process mining addressed and 'categorical prediction' (25%) as the main mining task solved.  ...  Process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.  ...  Conf. on Information Reuse and In- tegration (IRI) Lai, C.-H.; Liu, D.-R. Mining knowledge flow for modeling the information needs of task-based groups 2008 C Int.  ... 
doi:10.6084/m9.figshare.5619598 fatcat:bh4gcfst3rbdvaqvcipn5yrxga

Undergraduate Students' Critical Online Reasoning—Process Mining Analysis

Susanne Schmidt, Olga Zlatkin-Troitschanskaia, Jochen Roeper, Verena Klose, Maruschka Weber, Ann-Kathrin Bültmann, Sebastian Brückner
2020 Frontiers in Psychology  
One group of students (11), defined as "strategic information processers," processed online information more comprehensively, as well as more efficiently, which was also reflected in their higher task  ...  In contrast, the distributions of the process performance variables for the other group (21), defined as "avoidance information processers," indicated a poorer process performance, which was also reflected  ...  We would like to thank all students from the Medical Faculty of Goethe University Frankfurt, and from the Faculty of Law and Economics at Johannes Gutenberg University who participated in this study.  ... 
doi:10.3389/fpsyg.2020.576273 pmid:33424686 pmcid:PMC7793971 fatcat:ropfoghuqbgmnpzhq6devdojbi

Evolution Paths for Knowledge Discovery and Data Mining Process Models

Anna Rotondo, Fergus Quilligan
2020 SN Computer Science  
Data mining process models then become fundamental means to support analytics project management and minimise the risk of data dredging.  ...  In this paper, Knowledge Discovery and Data Mining process models are reviewed starting from the most popular models currently in use.  ...  This is achieved via an information vault, which consists of a data, knowledge and good practice repository shared among project stakeholders.  ... 
doi:10.1007/s42979-020-0117-6 fatcat:cz77cevwazed3ojqlecosy3khy

Question-Driven Methodology for Analyzing Emergency Room Processes Using Process Mining

Eric Rojas, Marcos Sepúlveda, Jorge Munoz-Gama, Daniel Capurro, Vicente Traver, Carlos Fernandez-Llatas
2017 Applied Sciences  
However, ER experts require certain guidelines in order to carry out process mining effectively.  ...  The applicability of the latter is illustrated by means of a case study of an ER service in Chile, in which ER experts were able to obtain a better understanding of how they were dealing with episodes  ...  The second case was an exploratory study undertaken using data from ER processes from four hospitals in Australia [15] .  ... 
doi:10.3390/app7030302 fatcat:r4fdmnrv2ndwpdwa4rcb5xmgfq

Data-Mining Discovery of Pattern and Process in Ecological Systems

WESLEY M. HOCHACHKA, RICH CARUANA, DANIEL FINK, ART MUNSON, MIREK RIEDEWALD, DARIA SOROKINA, STEVE KELLING
2007 Journal of Wildlife Management  
In this paper we 1) present the distinctions between data-mining (usually exploratory) analyses and parametric statistical (confirmatory) analyses, 2) illustrate 3 strengths of data-mining tools for generating  ...  hypotheses from data, and 3) suggest useful ways in which data mining and statistical analyses can be integrated into a thorough analysis of data to facilitate rapid creation of accurate models and to  ...  ACKNOWLEDGMENTS We thank the participants in Project FeederWatch for providing the data used in the illustration of data-mining techniques, and the staff in the Information Sciences unit at the Cornell  ... 
doi:10.2193/2006-503 fatcat:r3ugksmxfnc3dihncrz5rulxxy

Process mining in healthcare: a systematised literature review

Mahdi Ghasemi, Daniel Amyot
2016 International Journal of Electronic Healthcare  
We first provide an overview of process mining in general, and in healthcare in particular.  ...  Then, a typical example of application of process mining activities on an event log in healthcare is presented in Section 3.  ...  To this end, they tried to identify and characterize the case studies, providing an overview of the state of the art of the field of process mining in healthcare.  ... 
doi:10.1504/ijeh.2016.078745 fatcat:dnyvrgo7gjbq7adikoz3mxokga

Using automated planning for improving data mining processes

Susana Fernández, Tomás de la Rosa, Fernando Fernández, Rubén Suárez, Javier Ortiz, Daniel Borrajo, David Manzano
2013 Knowledge engineering review (Print)  
Data mining is a difficult task that relies on an exploratory and analytic process of processing large quantities of data in order to discover meaningful patterns.  ...  Here, we describe data-mining tasks in terms of Automated Planning, which allows us to automate the data-mining knowledge flow construction.  ...  A good ranking is an ordered list of plans where the ones that need less time to execute appear in the first positions of the list.  ... 
doi:10.1017/s0269888912000409 fatcat:6nagvnjaovdntof3nce7eaiqgu

Privacy Challenges for Process Mining in Human-Centered Industrial Environments

Felix Mannhardt, Sobah Abbas Petersen, Manuel Fradinho Oliveira
2018 2018 14th International Conference on Intelligent Environments (IE)  
We contribute an analysis of the privacy challenges of using process mining on data recorded from sensorized operators in human-centered industrial environments.  ...  Process mining technologies are suited to analyze such sensor data in the context of the manufacturing process with the ultimate goal of improving the operator's well-being through re-organization of work  ...  Another related research perspective is how to use result from data analytics responsibly. In [29] an overview and practical guidelines are given.  ... 
doi:10.1109/ie.2018.00017 dblp:conf/intenv/MannhardtPO18 fatcat:gtjg4gpmqvahxi7neuvqomjtre
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