scholarly journals Interactive Poster: Visual Mining of Business Process Data

Author(s):  
M.C. Hao ◽  
D.A. Keim ◽  
U. Dayal ◽  
J. Schneidewind
2014 ◽  
Vol 20 (6) ◽  
pp. 794-815 ◽  
Author(s):  
Xinwei Zhu ◽  
Jan Recker ◽  
Guobin Zhu ◽  
Flávia Maria Santoro

Purpose – Context-awareness has emerged as an important principle in the design of flexible business processes. The goal of the research is to develop an approach to extend context-aware business process modeling toward location-awareness. The purpose of this paper is to identify and conceptualize location-dependencies in process modeling. Design/methodology/approach – This paper uses a pattern-based approach to identify location-dependency in process models. The authors design specifications for these patterns. The authors present illustrative examples and evaluate the identified patterns through a literature review of published process cases. Findings – This paper introduces location-awareness as a new perspective to extend context-awareness in BPM research, by introducing relevant location concepts such as location-awareness and location-dependencies. The authors identify five basic location-dependent control-flow patterns that can be captured in process models. And the authors identify location-dependencies in several existing case studies of business processes. Research limitations/implications – The authors focus exclusively on the control-flow perspective of process models. Further work needs to extend the research to address location-dependencies in process data or resources. Further empirical work is needed to explore determinants and consequences of the modeling of location-dependencies. Originality/value – As existing literature mostly focusses on the broad context of business process, location in process modeling still is treated as “second class citizen” in theory and in practice. This paper discusses the vital role of location-dependencies within business processes. The proposed five basic location-dependent control-flow patterns are novel and useful to explain location-dependency in business process models. They provide a conceptual basis for further exploration of location-awareness in the management of business processes.


2017 ◽  
Vol 121 ◽  
pp. 740-747 ◽  
Author(s):  
Asma Hassani ◽  
Sonia Ayachi Gahnouchi

2011 ◽  
Vol 204-210 ◽  
pp. 1051-1056
Author(s):  
Lang Cai Cao ◽  
Jian Luo

With ever-changing and fast-changing in current business environment, traditional business process is more and more incapable to meet the demand to share information, visualize both high-level and detailed process data, track status and expedite business processes. To address these challenges, the visual workflow platform is introduced. As proven by an industrial case, the workflow platform can greatly help business units to improve work efficiency.


Author(s):  
Rami-Habib Eid-Sabbagh ◽  
Marcin Hewelt ◽  
Andreas Meyer ◽  
Mathias Weske

2020 ◽  
Vol 1693 ◽  
pp. 012037
Author(s):  
Xu Feng ◽  
Tao Sicheng ◽  
Li Gongliang ◽  
Xie Yang ◽  
Tao Yizheng

2018 ◽  
Author(s):  
nanda jarti

This thesis discusses the modeling of architecture design information at CV. Anggi Pratama. CV. ANGGI Pratama is one compony engaged in contractor. Business process that acour with interconnected. This business result form of products related to the project and intented for customers.business process that accour at this time still manually so that in making the report takes a long time. It would require a good management so that in making the report take a long time.it would require a good manjement so that the project can process according to plan. For the research was conducted using the method includes defining business objectives, business process, data classed, and information architecture. The result of which will be a implementation prototype modeling architecture to be built to support business project in the CV. Anggi Pratama


2019 ◽  
Vol 9 (1) ◽  
pp. 13-26
Author(s):  
Ringga Gilang Baskoro

Vocational college Bogor Agricultural University (IPB) have utilized information technology (IT) to support business process. The problem is that existing information technology has not been effective in supporting the main business process. Data processing and information systems become one of the things that need to be improved. To apply information technology to align with the needs of business processes required a plan to minimize the occurrence of failure in the implementation phase. As the guidance and direction of IT Operation in each organization, IT Strategic Plan plays the very important role in organization. Many IT projects fail since there was no adequate IT planning.  The stages of IS strategy formulation are performed based on Ward & Peppard framework. IS and IT strategic plan formulated in this study consist of some components such: application portfolio, IT management and architecture recommendation in Vocational college Bogor Agricultural University (IPB). This study results of IT strategic plan formulation for Vocational College Bogor Agricultural University (IPB).


Author(s):  
Mustafa Hashmi ◽  
Guido Governatori ◽  
Moe Thandar Wynn

2017 ◽  
Vol 9 (1) ◽  
pp. 49-60
Author(s):  
Ishak H.A. Meddah ◽  
Khaled Belkadi ◽  
Mohamed Amine Boudia

Hadoop MapReduce is one of the solutions for the process of large and big data, with-it the authors can analyze and process data, it does this by distributing the computational in a large set of machines. Process mining provides an important bridge between data mining and business process analysis, his techniques allow for mining data information from event logs. Firstly, the work consists to mine small patterns from a log traces, those patterns are the workflow of the execution traces of business process. The authors' work is an amelioration of the existing techniques who mine only one general workflow, the workflow present the general traces of two web applications; they use existing techniques; the patterns are represented by finite state automaton; the final model is the combination of only two types of patterns whom are represented by the regular expressions. Secondly, the authors compute these patterns in parallel, and then combine those patterns using MapReduce, they have two parts the first is the Map Step, they mine patterns from execution traces and the second is the combination of these small patterns as reduce step. The results are promising; they show that the approach is scalable, general and precise. It reduces the execution time by the use of Hadoop MapReduce Framework.


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