Filters








8 Hits in 2.3 sec

Multidimensional Process Mining with PMCube Explorer

Thomas Vogelgesang, Hans-Jürgen Appelrath
2015 International Conference on Business Process Management  
In this paper, we introduce PMCube Explorer, a novel tool for MPM, that allows for the analysis of a process from various views.  ...  Multidimensional process mining (MPM) aims to overcome this limitation by the notion of data cubes, spreading the data over multiple cells, each representing a group of cases with similar characteristics  ...  The authors would like to thank all contributors to the PMCube Explorer and especially Rainer Röhrig, Lena Niehoff, Raphael W. Majeed, and Christian Katzer for their support during the case study.  ... 
dblp:conf/bpm/VogelgesangA15 fatcat:54hrfxq6hjcm7atsz5m3mbwtme

A Relational Data Warehouse for Multidimensional Process Mining [chapter]

Thomas Vogelgesang, H.-Jürgen Appelrath
2017 Lecture Notes in Business Information Processing  
In this paper, we present the underlying relational concepts of PMCube, a datawarehouse-based approach for multidimensional process mining.  ...  Multidimensional process mining adopts the concept of data cubes to split event data into a set of homogenous sublogs according to case and event attributes.  ...  We propose to adopt well-established data warehouse (DWH) technologies based on relational databases, to provide acceptable loading times for the multidimensional event data.  ... 
doi:10.1007/978-3-319-53435-0_8 fatcat:4f7yg45jxvahfive6srypbsiji

Multidimensional Process Mining: Questions, Requirements, and Limitations

Thomas Vogelgesang, Georg Kaes, Stefanie Rinderle-Ma, Hans-Jürgen Appelrath
2016 International Conference on Advanced Information Systems Engineering  
Multidimensional process mining is an emerging approach that adopts the concept of data cubes to analyze processes from multiple views.  ...  In this paper, we derive a number of general research questions addressed for multidimensional process mining by a literature review.  ...  The notion of multidimensional process mining (MPM) is an emerging approach that tackles this problem by adopting the concept of data cubes from the data warehouse domain.  ... 
dblp:conf/caise/VogelgesangKRA16 fatcat:qgddyur5xbhvdha3hsk5lpjove

Multidimensional Sentiment Cube Mining for Process Monitoring

Nanthawadee Sucharittham, Choochart Haruechaiyasak, Hieu Chi Dam, Thanaruk Theeramunkong
2022 Trends in Sciences  
To utilize this useful cloud corpus for the business improvement process, we propose a novel methodology for process monitoring using the concept of multidimensional sentiment cube (MDSC) mining to raise  ...  HIGHLIGHTS A methodology for process monitoring using the concept of multidimensional sentiment cube (MDSC) mining raise the usefulness of the business process model notation (BPMN) by utilizing the corpus  ...  Acknowledgements This research was conducted under a grant in the SIIT-JAIST-NECTEC.  ... 
doi:10.48048/tis.2022.3682 fatcat:4fa2stz7rfep3iy3zmvbsjen3m

DB-XES: Enabling Process Discovery in the Large [chapter]

Alifah Syamsiyah, Boudewijn F. van Dongen, Wil M. P. van der Aalst
2018 Lecture Notes in Business Information Processing  
This paper proposes a new technique based on relational database technology as a solution for scalable process discovery.  ...  A relational database is used both for storing event data (i.e. we move the location of the data) and for pre-processing the event data (i.e. we move some computations from analysis-time to insertion-time  ...  It presented the underlying relational concepts of PMCube, a data-warehouse-based approach for MPM.  ... 
doi:10.1007/978-3-319-74161-1_4 fatcat:ql5fxjhn65go5gndj2g5jjraou

Data Analysis to Better Understand Business Process Models Discovered with Process Mining

Alessandro Bettacchi, Alberto Polzonetti, Barbara Re, Knut Hinkelmann
unpublished
We also generalized the approach by proposing a methodology that allows to define, and potentially improve, the production, by giving recommendations.  ...  In order to understand the reason behind such deviations, an in-depth data analysis using On-Line Analytical Processing has been performed.  ...  A similar idea is in [19] where an approach for analyzing and preventing exceptions in BP is described. However, such approach is based only on generic Data Warehousing and data mining techniques.  ... 
fatcat:7ke66vjlifbmzg73dyzbon4a3u

Analysis of Process Variants with a Process Warehouse Approach

Lisana Berberi
2021
Thirdly, some optimization techniques might be applied to a specific variant without considering the other ones related to it.Whereas, approaches to analyse these variants using a data warehouse solution  ...  Current approaches for managing process variants using BPMS suffer from three shortcomings that affect their usability in practice.Firstly, these process models result in data redundancy as often model  ...  , the concepts of PMCube, a data warehousebased approach for multidimensional process mining is proposed.  ... 
doi:10.5445/ir/1000141036 fatcat:3oleyl6jcjgbdouukx63aanhr4

Athens, Greece BUSTECH 2017 Editors BUSTECH 2017 Committee BUSTECH Steering Committee

Malgorzata Pankowska, Pierre Hadaya, Esg-Uqam, Canada, Malgorzata Pankowska, Bernardo Almada-Lobo, Faten Atigui, Giuseppe Di, Wenbin Li, France Lübke, Switzerland Leibniz, Universität Hannover (+11 others)
2017 University of Applied Sciences and Arts   unpublished
a series of events covering topics related to business process management and intelligence, integration and interoperability of different approaches, technology-oriented business solutions and specific  ...  We also gratefully thank the members of the BUSTECH 2017 organizing committee for their help in handling the logistics and for their work that made this professional meeting a success.  ...  A similar idea is in [19] where an approach for analyzing and preventing exceptions in BP is described. However, such approach is based only on generic Data Warehousing and data mining techniques.  ... 
fatcat:tyqzruksifhejgdzfdl64rcmeu