Relevant bibliographies by topics / Events correlations in business processes

Academic literature on the topic 'Events correlations in business processes'

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Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Events correlations in business processes"

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Gong, Ping, David Knuplesch, Zaiwen Feng, and Jianmin Jiang. "bpCMon." International Journal of Web Services Research 14, no. 2 (April 2017): 81–103. http://dx.doi.org/10.4018/ijwsr.2017040105.

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Business processes compliance monitoring checks whether running business processes comply with involved compliance rules. Business processes in modern enterprise are rarely supported by a single and centralized workflow system, but instead implemented over different applications (e.g., CRM, ERP, WfMS, and legacy systems). The running data (i.e., event) about process executions are scattered across these applications. Under such circumstance, understanding the compliance of running processes entails the compliance monitoring enabling to correlate events from different applications and even different process instances. This paper introduces a framework named as bpCMon for business process compliance monitoring. bpCMon consists of an expressive compliance rule language ECL and a rule system ERS. ECL is a pattern-based formal language for specifying compliance rules of multiple process perspectives, and also allows for describing event-correlation conditions. ERS, generated from compliance rules in ECL, in turn plays as a compliance monitor enabling to correlate events efficiently by means of an indexing structure created from event-correlation conditions. The applicability of bpCMon is demonstrated by experiments on real-world data sets, and the efficiency of bpCMon is illustrated by comparing with related approaches. Overall, bpCMon enables business process compliance monitoring to meet real-world requirements.
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Polpinij, Jantima, Aditya Ghose, and Hoa Khanh Dam. "Mining business rules from business process model repositories." Business Process Management Journal 21, no. 4 (July 6, 2015): 820–36. http://dx.doi.org/10.1108/bpmj-01-2014-0004.

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Purpose – Business process has become the core assets of many organizations and it becomes increasing common for most medium to large organizations to have collections of hundreds or even thousands of business process models. The purpose of this paper is to explore an alternative dimension to process mining in which the objective is to extract process constraints (or business rules) as opposed to business process models. It also focusses on an alternative data set – process models as opposed to process instances (i.e. event logs). Design/methodology/approach – The authors present a new method of knowledge discovery to find business activity sequential patterns embedded in process model repositories. The extracted sequential patterns are considered as business rules. Findings – The authors find significant knowledge hidden in business processes model repositories. The hidden knowledge is considered as business rules. The business rules extracted from process models are significant and valid sequential correlations among business activities belonging to a particular organization. Such business rules represent business constraints that have been encoded in business process models. Experimental results have indicated the effectiveness and accuracy of the approach in extracting business rules from repositories of business process models. Social implications – This research will assist organizations to extract business rules from their existing business process models. The discovered business rules are very important for any organization, where rules can be used to help organizations better achieve goals, remove obstacles to market growth, reduce costly mistakes, improve communication, comply with legal requirements, and increase customer loyalty. Originality/value – There has very been little work in mining business process models as opposed to an increasing number of very large collections of business process models. This work has filled this gap with the focus on extracting business rules.
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Krämer, Bernd J., and Thomas Koch. "Distributed Systems Management Software-in-the-Loop." International Journal of Software Engineering and Knowledge Engineering 08, no. 01 (March 1998): 55–76. http://dx.doi.org/10.1142/s0218194098000066.

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IT experts expect open distributed processing to become the predominant computing infrastructure in the late nineties. All computer supported work places of large enterprises and organizations will then be networked and will be integrated into cross-regional and cross-sector business and information processes. The size and complexity of such applications, the local autonomy, distribution and heterogeneity of participating subsystems, and their asynchronous interaction, however, require new architectures, strategies, and tools for their technical management. In previous work we placed a production rule interpreter into the monitoring, decision, control action loop to provide flexible, operational semantics of well-understood management policies. In this article we extend this work in two directions. First we map the structure and dynamic behavior of policies into a graph representation. This semantic representation enables a systematic prediction of the effects of policy executions and allows for a better impact analysis in case of policy changes. Then we introduce a declarative event definition mechanism. It supports a causal and temporal correlation of individual events and serves to instantiate and adapt a predefined generic event handler to the specific needs of the actual management application. Such event handlers join in the interaction between monitoring agents and policy interpreter. By event correlation they may reduce the number of events triggering management actions significantly and help to filter secondary events.
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Masaev, Sergey Nikolaevich. "ALGORITHM FOR ASSESSING THE STATE OF THE SYSTEM (SANCTIONS, HR, TQM, PMBOK, COVID-19, FIRE SAFETY) BY THE METHOD OF INTEGRATED INDICATORS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 1 (January 25, 2021): 36–48. http://dx.doi.org/10.24143/2072-9502-2021-1-36-48.

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The article considers the integral indicators as one of the methods for studying the behavior of dynamic systems, evaluating the change in the system under the influence of environmental parameters. Correlation of the observed process parameters in dynamics gives the integral value of changes in the operational conditions (modes) of the system and helps predict various events, stressful situations and crises. The modes of activity of a woodworking enterprise, the implementation of a project on it and modes of operation of a construction enterprise are considered. Each enterprise is formalized separately as dynamic systems, the parameters of which are performance indicators: the structure of fixed assets, the structure of sales, logistics of the movement of material assets, the structure of owners, etc. The author's program complex has developed and analyzed 15 operating modes of the dynamic system. The process of fulfilling all operating modes has been simulated using a description of business processes, as well as the implementation of a quality management system, the PMBOK project management standard, a fire safety system, and operating in conditions of Covid-19 infection. The states of the dynamic system were obtained by the integral method indicators. The study showed characteristic changes in the correlated values of the system parameters and the performance of business processes with a changed control signal and allowed to create a solution space for the system.
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Oluwalope, Adenuga Abiola, and Ojediran Sunday. "Impact of Budgetary Participation and Organizational Commitment on Managerial Performance in Nigeria." Accounting and Finance Research 6, no. 3 (July 16, 2017): 48. http://dx.doi.org/10.5430/afr.v6n3p48.

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Following the prevailing uncertainties in Nigerian business environment, managers and stakeholders require the need to be poised, prepared and plan to compete favourably under the rapidly shifting condition in order to remain relevant and profitable. This study examines the relationship between budget participation, organizational commitment and managerial performance in Nigeria. Primary data were obtained from copies of questionnaire distributed to members of staff at managerial levels at Nestle NIG-food, Nigerian Breweries-drinks, Flour mills-food, 7up Bottling company-drinks, Cadbury-food, Unilever-food, Vitafoam NIG-others categorized based on the nature of their business and analysed through use of Statistical Package of Social Science (SPSS, Version 20) as correlation and regression were used to evaluate relationships among variables. Findings revealed that participation in budget activities and commitment to work done by individuals in an organization positively impacts managerial performance, hence this assertion cannot be overlooked or ignored as it supports the empirical body of positive impacts. It is therefore recommended that organizations should engage in activities that will promote budget participation and commitment and also consider other processes and events that could be explored upon towards enhancing managerial performance.
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Gorgadze, Aleksei, Anastasia Sinitsyna, Julia Trabskaya, and To'neill Bala. "The impact of new affective components on museum visitor retention: the context of major city event using SEM and CTree." International Journal of Event and Festival Management 12, no. 2 (May 27, 2021): 203–23. http://dx.doi.org/10.1108/ijefm-11-2020-0071.

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PurposeThe main purpose of this study is to examine the relationship between ranges of affective components that have an impact on the revisit intention of museum visitors, in the context of a major city event. The study reveals the most significant factors that affect decision-making by applying the findings to a structural equation modelling (SEM) and conditional inference tree (CTree).Design/methodology/approachThe paper utilises face-to-face survey research at the “Long Night of Museums” event in Saint Petersburg, 298 questionnaires were completed on the night of the event. The empirical part of the research is based on the SEM and interpreted by using the CTree. The SEM model measures the direct and indirect influence of the cognitive and affective components; the CTree enables the testing of both component and the joint effect they both produce.FindingsThis study shows a strong indirect correlation between the cognitive component of the major city event and the revisit intention of museum visitors. When focussing on affective components, both the SEM and the CTree demonstrated that attractiveness and atmosphere are revealed to be the most impactful elements regarding visitor retention and repeat custom. The research allows for a deeper understanding of visitor behaviours, intentions and their decision-making processes.Practical implicationsThe results of the study allow museum managers to understand how to create repeat custom amongst visitors, by appreciating the importance of participation in major city events and the role that attraction and atmosphere play when creating intention for repeat visit. The research has uncovered which dimensions are the most important to visitors, and as a result, these particular dimensions should be thoroughly developed by museums in future in order to attract and repeat visits. This study has demonstrated the practical implications for museums participating in city events. When considering policy makers, this particular research provides an opportunity to develop recommendations for future city events, as well as using the CTree to assess and predict the effectiveness of visitor behaviour.Originality/valueThis is an original study which aims to integrate the impact of the perceived value of the cognitive component and a new range of affective elements regarding museum retention in the context of a major city event. The study includes newly developed dimensions of perceived value, as well as a unique focus on affective dimensions such as – atmosphere and attraction. Another point of originality is provided by using a CTree, which captures an in depth understanding of the intention formation process. This study provides an opportunity to advance our understanding of visitor decision-making processes.
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Adii, Asaf, David Botzer, Opher Etzion, and Tali Yatzkar-Haham. "Monitoring business processes through event correlation based on dependency model." ACM SIGMOD Record 30, no. 2 (June 2001): 610. http://dx.doi.org/10.1145/376284.375759.

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Gimadeev, Sh M., A. I. Latypov, S. V. Radchenko, and D. F. Khaziakhmetov. "The effect of hospital information systems on healthcare facilities efficiency indicators." Kazan medical journal 96, no. 2 (April 15, 2015): 227–33. http://dx.doi.org/10.17750/kmj2015-227.

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Aim. Comparative assessment of an automation facilities influence on labor input and business processes’ productivity indicators related to primary functions of healthcare facilities of different types.Methods. We performed medical personnel’s work timing in emergency rooms, as well as medical records timing in clinical departments. The automated electronic health records processing while operating hospital information systems created by authors among different types of healthcare facilities was also performed. Output data included personal health record operation periods values and system events timestamps.Results. The data concerning hospital information systems’ influence on electronic health records operating time changes and hospitalization delays was obtained. A correlation between the initial hospitalization delay and hospital capacity was discovered (r=0.917). The emergency room automation significantly reduces hospitalization delays. Under clinical information system operating conditions, the primary examination time recording increases twice, while the time spent for all other electronic health records decreases in higher order. Considerable difference between primary examination recording time and the time, necessary for other personal health record registrations, has satisfactory interpretation within the heterogeneous medical data sources integration model, but not within usability model. In general, the gained data does not confirm results of previously published researches pointing the increased time doctors spent for data management in automation conditions.Conclusion. Hospital information systems implementation improved the specialist’s labor productivity and main working processes work capacity. The obtained data indicate a greater influence of automation in large healthcare facilities and reject usability hypothesis of hospital information systems efficiency.
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Hanna Koptieva and Sergiy Kozub. "SOCIAL RESPONSIBILITY AS A MODERN PRINCIPLE OF PLANNING THE DEVELOPMENT OF A SECURE BUSINESS IN TRADE." European Cooperation 2, no. 46 (April 30, 2020): 55–74. http://dx.doi.org/10.32070/ec.v2i46.83.

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The increasing role of society as a factor in the development of a company actualizes the introduction of the corporate social responsibility concept, its boundaries and its impact on economic results. The implementation of corporate social responsibility activities and programs forms a positive image of the company as of a responsible employer, manufacturer and counterparty, which simultaneously strengthens the company's competitive position and increases its level of security. Nevertheless, the integration of environmental and social programs into the company's business processes requires investments and, respectively, the coordination of these projects with strategic business development initiatives to ensure a certain balance between desired goals and real opportunities. That is the reason for the relevance of researching the practice of planning of socially targeted events and determining the relationship between their implementation and the performance results of the company. The article considers the current practice of implementing the principles of corporate social responsibility in the activities of world trading companies in the context of ensuring their economic security. The author of the article investigated the level of implementation of corporate social responsibility tools in the practice of 19 world trade leaders in terms of their turnover. It is proved that trading companies with high rates of corporate sustainability implement social initiatives in accordance with the developed plans and strategies for their implementation. The author identifies priority areas for the implementation of social projects of trading companies, among which the most common are creation of decent working conditions, gender equality, implementation of educational initiatives to rationalize consumption and production in terms of human physiological needs and careful use of resources, of the fight against climate change and their consequences. The hypothesis regarding the dependence of business economic security on the activity of implementation of corporate social responsibility projects was also checked. Based on the correlation analysis, a direct relationship has been established between corporate sustainability indicators and the main performance results of trading companies, which determine their level of economic security.
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Miloslavskaya, Natalia. "Designing blockchain-based SIEM 3.0 system." Information & Computer Security 26, no. 4 (October 8, 2018): 491–512. http://dx.doi.org/10.1108/ics-10-2017-0075.

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Purpose Nowadays, to operate securely and legally and to achieve business objectives, secure valuable assets and support uninterrupted business processes, all organizations need to match a lot of internal and external compliance regulations such as laws, standards, guidelines, policies, specifications and procedures. An integrated system able to manage information security (IS) for their intranets in the new cyberspace while processing tremendous amounts of IS-related data coming in various formats is required as never before. These data, after being collected and analyzed, should be evaluated in real-time from an IS incident viewpoint, to identify an incident’s source, consider its type, weigh its consequences, visualize its vector, associate all target systems, prioritize countermeasures and offer mitigation solutions with weighted impact relevance. Different security information and event management (SIEM) systems cope with this routine and usually complicated work by rapid detection of IS incidents and further appropriate response. Modern challenges dictate the need to build these systems using advanced technologies such as the blockchain (BC) technologies (BCTs). The purpose of this study is to design a new BC-based SIEM 3.0 system and propose a methodology for its evaluation. Design/methodology/approach Modern challenges dictate the need to build these systems using advanced technologies such as the BC technologies. Many internet resources argue that the BCT suits the intrusion detection objectives very well, but they do not mention how to implement it. Findings After a brief analysis of the BC concept and the evolution of SIEM systems, this paper presents the main ideas on designing the next-generation BC-based SIEM 3.0 systems, for the first time in open access publications, including a convolution method for solving the scalability issue for ever-growing BC size. This new approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. Research limitations/implications The most important area of the future work is to bring this proposed system to life. The implementation, deployment and testing onto a real-world network would also allow people to see its viability or show that a more sophisticated model should be worked out. After developing the design basics, we are ready to determine the directions of the most promising studies. What are the main criteria and principles, according to which the organization will select events from PEL for creating one BC block? What is the optimal number of nodes in the organization’s BC, depending on its network assets, services provided and the number of events that occur in its network? How to build and host the SIEM 3.0 BC infrastructure? How to arrange streaming analytics of block’s content containing events taking place in the network? How to design the BC middleware as software that enables staff to interact with BC blocks to provide services like IS events correlation? How to visualize the results obtained to find insights and patterns in historical BC data for better IS management? How to predict the emergence of IS events in the future? This list of questions can be continued indefinitely for a full-fledged design of SIEM 3.0. Practical implications This paper shows the full applicability of the BC concept to the creation of the next-generation SIEM 3.0 systems that are designed to detect IS incidents in a modern, fully interconnected organization’s network environment. The authors’ attempt to begin with a detailed description of the basics for a BC-based SIEM 3.0 system design is presented, as well as the evaluation methodology for the resulting product. Originality/value The authors believe that their new revolutionary approach makes it possible not to simply modify SIEM systems in an evolutionary manner, but to bring their next generation to a qualitatively new and higher level of IS event management in the future. They hope that this paper will evoke a lively response in this segment of the security controls market from both theorists and direct developers of living systems that will implement the above approach.
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Dissertations / Theses on the topic "Events correlations in business processes"

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Motahari, Nezhad Hamid Reza Computer Science &amp Engineering Faculty of Engineering UNSW. "Discovery and adaptation of process views." Publisher:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/41026.

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Business process analysis and integration are key endeavours for today's enterprises. Recently, Web services have been widely adopted for the implementation and integration of business processes within and across enterprises. In this dissertation, we investigate the problem of enabling the analysis of service interactions, in today's enterprises, in the context of business process executions, and that of service integration. Our study shows that only fraction of interactions in the enterprise are supported by process-aware systems. However, enabling above-mentioned analyses requires: (i) a model of the underlying business process to be used as a reference for the analysis, and (ii) the ability to correlate events generated during service interactions into process instances. We refer to a process model and the corresponding process instances as a "process view". We propose the concept of process space to refer to all process related information sources in the enterprise, over which various process views are defined. We propose the design and development of a system called "process space discovery system" (PSDS) for discovering process views in a process space. We introduce novel approaches for the correlation of events into process instances, focusing on the public processes of Web services (business protocols), and also for the discovery of the business protocol models from the process instances of a process view. Analysis of service integration approaches shows that while standardisation in Web services simplifies the integration in the communication level, at the higher levels of abstractions (e.g., services interfaces and protocol models) services are still open to heterogeneities. We characterise the mismatches between service interfaces and protocol specifications and introduce "mismatch patterns" to represent them. A mismatch pattern also includes an adapter template that aims at the resolution of the captured mismatch. We also propose semi-automated approaches for identifying the mismatches between interface and protocol specifications of two services. The proposed approaches have been implemented in prototype tools, and experimentally validated on synthetic and real-world datasets. The discovered process views, using PSDS, can be used to perform various analyses in an enterprise, and the proposed adaptation approach facilitates the adoption of Web services in business process integration.
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Reguieg, Hicham. "Using MapReduce to scale event correlation discovery for process mining." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2014. http://tel.archives-ouvertes.fr/tel-01002623.

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The volume of data related to business process execution is increasing significantly in the enterprise. Many of data sources include events related to the execution of the same processes in various systems or applications. Event correlation is the task of analyzing a repository of event logs in order to find out the set of events that belong to the same business process execution instance. This is a key step in the discovery of business processes from event execution logs. Event correlation is a computationally-intensive task in the sense that it requires a deep analysis of very large and growing repositories of event logs, and exploration of various possible relationships among the events. In this dissertation, we present a scalable data analysis technique to support efficient event correlation for mining business processes. We propose a two-stages approach to compute correlation conditions and their entailed process instances from event logs using MapReduce framework. The experimental results show that the algorithm scales well to large datasets.
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Meng, Jie. "Achieving dynamic inter-organizational workflow management by integrating business processes, e-services, events, and rules." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1000143.

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Thesis (Ph. D.)--University of Florida, 2002.
Title from title page of source document. Document formatted into pages; contains xii, 102 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Al-Sabah, Shamayel Ahmad Khaled. "Designing emergent business process : the case of the foreign procurement process of Kuwait Ministry of Defence." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11625.

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Business processes can be divided into standardisable and non-standardisable processes. Such processes are characterised by their activities, events, states and time-points. The conditions in which process activities, events, states and time-points occur determines how they are observed, recorded and acted upon. Under predictable and stable conditions an observer can record them by predetermining them and this can be done using existing process design approaches and methodologies. Such processes are termed standardisable processes; for example a process for manufacturing cars. However, under unpredictable and unstable conditions an observer cannot record them by predetermining all the possible events, because uncertainty leads to unpredictable events occurring. Such processes are termed non-standardisable processes and in this thesis as emergent processes; for example special engineering projects like building the Channel Tunnel. Therefore, a new approach is required for designing non-standardisable processes. Process events are significant because the observer notices and records them. Significantly, the observer of events also has to act on them. Whether process events occur in predictable and stable conditions or unpredictable and unstable conditions, makes a difference to how an observer notices, records and acts on them. This is highly significant for this thesis argument, because as non-standardisable process events can be unexpected and unpredictable or emergent a new approach is required to design them. This thesis advances knowledge of designing non-standardisable processes by conceptualising them as emergent business processes (EBP) and contributing a new approach for designing them using action research and the deferred design approach as a process design methodology. Uncertain and unpredictable conditions is characterised here as emergence. The observer cannot predetermine all the possible process events for processes that operate in emergent conditions and cannot determine how to act upon unpredictable process events, because some events will be predictable and others unpredictable. The pragmatist research methodology was used to research to identify and resolve the problem with EBP in the Foreign Procurement Division (FPD) of the Kuwait Ministry of Defence. It was also used an approach for designing EBP. The research contributes the new understanding of non-standardisable processes as emergent business processes. This is a significant contribution because it is conceptualisation that is not found in the literature. This conceptualisation recognises the need to find new approaches for designing and implementing EBP. Therefore, the research also contributes a new approach for designing EBP using the action research methodology as a process design methodology.
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Baffoe, Shirley A. "A Generic BI Application for Real-time Monitoring of Care Processes." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24245.

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Patient wait times and care service times are key performance measures for care processes in hospitals. Managing the quality of care delivered by these processes in real-time is challenging. A key challenge is to correlate source medical events to infer the care process states that define patient wait times and care service times. Commercially available complex event processing engines do not have built in support for the concept of care process state. This makes it unnecessarily complex to define and maintain rules for inferring states from source medical events in a care process. Another challenge is how to present the data in a real-time BI dashboard and the underlying data model to use to support this BI dashboard. Data representation architecture can potentially lead to delays in processing and presenting the data in the BI dashboard. In this research, we have investigated the problem of real-time monitoring of care processes, performed a gap analysis of current information system support for it, researched and assessed available technologies, and shown how to most effectively leverage event driven and BI architectures when building information support for real-time monitoring of care processes. We introduce a state monitoring engine for inferring and managing states based on an application model for care process monitoring. A BI architecture is also leveraged for the data model to support the real-time data processing and reporting requirements of the application’s portal. The research is validated with a case study to create a real-time care process monitoring application for an Acute Coronary Syndrome (ACS) clinical pathway in collaboration with IBM and Osler hospital. The research methodology is based on design-oriented research.
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Books on the topic "Events correlations in business processes"

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Duhigg, Charles. The Power of Habit: Why We Do What We Do in Life and Business. New York: Random House, 2012.

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Agere, Sam. Rethinking policy analysis and management: Enhancing policy development and management in the public service. London: Commonwealth Secretariat, 1999.

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Bello, Walden F. A Siamese tragedy: Development and disintegration in modern Thailand. Oakland Calif: Food First, 1998.

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Neher, Clark D. Southeast Asia in the new international era. 4th ed. Boulder, Colo: Westview Press, 2002.

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1954-, Biersack Robert, Herrnson Paul S. 1958-, and Wilcox Clyde 1953-, eds. Risky business?: PAC decisionmaking in congressional elections. Armonk, NY: M.E. Sharpe, 1994.

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Biersack, Robert, and Paul S. Herrnson. Risky Business?: Pac Decisionmaking in Congressional Elections (American Political Institutions and Public Policy). M.E. Sharpe, 1994.

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Biersack, Robert, and Paul S. Herrnson. Risky Business?: Pac Decisionmaking in Congressional Elections (American Political Institutions and Public Policy). M.E. Sharpe, 1994.

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Duhigg, Charles. The Power of Habit: Why We Do What We Do in Life and Business. Random House, 2016.

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Duhigg, Charles. The Power of Habit: Why We Do What We Do in Life and Business. Random House Audio, 2012.

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Duhigg, Charles. The Power of Habit: Why We Do What We Do in Life and Business. Turtleback, 2014.

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Book chapters on the topic "Events correlations in business processes"

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Bayomie, Dina, Ahmed Awad, and Ehab Ezat. "Correlating Unlabeled Events from Cyclic Business Processes Execution." In Advanced Information Systems Engineering, 274–89. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39696-5_17.

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Reguieg, Hicham, Farouk Toumani, Hamid Reza Motahari-Nezhad, and Boualem Benatallah. "Using Mapreduce to Scale Events Correlation Discovery for Business Processes Mining." In Lecture Notes in Computer Science, 279–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32885-5_22.

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Fleischmann, Albert, Werner Schmidt, Christian Stary, and Florian Strecker. "Nondeterministic Events in Business Processes." In Business Process Management Workshops, 364–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36285-9_40.

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Bruno, Giorgio. "Emphasizing Events and Rules in Business Processes." In Business Process Management Workshops, 395–406. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28108-2_38.

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Kuhr, Jan-Christian, Jan Pretzel, Dierk A. Vagts, and Lachlan Aldred. "Integrating Humans, Devices, and Events in Clinical Workflow Processes." In Business Process Management Workshops, 408–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00328-8_40.

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Pufahl, Luise, Nico Herzberg, Andreas Meyer, and Mathias Weske. "Flexible Batch Configuration in Business Processes Based on Events." In Service-Oriented Computing, 63–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45391-9_5.

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van Zelst, Sebastiaan J., Mohammadreza Fani Sani, Alireza Ostovar, Raffaele Conforti, and Marcello La Rosa. "Filtering Spurious Events from Event Streams of Business Processes." In Advanced Information Systems Engineering, 35–52. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91563-0_3.

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von Ammon, Rainer, Thomas Ertlmaier, Opher Etzion, Alexander Kofman, and Thomas Paulus. "Integrating Complex Events for Collaborating and Dynamically Changing Business Processes." In Service-Oriented Computing. ICSOC/ServiceWave 2009 Workshops, 370–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16132-2_35.

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Mandal, Sankalita, Marcin Hewelt, and Mathias Weske. "A Framework for Integrating Real-World Events and Business Processes in an IoT Environment." In On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 194–212. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69462-7_13.

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Tavazzi, Erica, Camille L. Gerard, Olivier Michielin, Alexandre Wicky, Roberto Gatta, and Michel A. Cuendet. "A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset." In Lecture Notes in Business Information Processing, 291–304. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72693-5_22.

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Abstract:
AbstractThanks to its ability to offer a time-oriented perspective on the clinical events that define the patient’s path of care, Process Mining (PM) is assuming an emerging role in clinical data analytics. PM’s ability to exploit time-series data and to build processes without any a priori knowledge suggests interesting synergies with the most common statistical analyses in healthcare, in particular survival analysis. In this work we demonstrate contributions of our process-oriented approach in analyzing a real-world retrospective dataset of patients treated for advanced melanoma at the Lausanne University Hospital. Addressing the clinical questions raised by our oncologists, we integrated PM in almost all the steps of a common statistical analysis. We show: (1) how PM can be leveraged to improve the quality of the data (data cleaning/pre-processing), (2) how PM can provide efficient data visualizations that support and/or suggest clinical hypotheses, also allowing to check the consistency between real and expected processes (descriptive statistics), and (3) how PM can assist in querying or re-expressing the data in terms of pre-defined reference workflows for testing survival differences among sub-cohorts (statistical inference). We exploit a rich set of PM tools for querying the event logs, inspecting the processes using statistical hypothesis testing, and performing conformance checking analyses to identify patterns in patient clinical paths and study the effects of different treatment sequences in our cohort.
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Conference papers on the topic "Events correlations in business processes"

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"CORRELATING EVENTS FOR MONITORING BUSINESS PROCESSES." In 6th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0002618403200327.

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Rozsnyai, Szabolcs, Aleksander Slominski, and Geetika T. Lakshmanan. "Discovering event correlation rules for semi-structured business processes." In the 5th ACM international conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2002259.2002272.

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Adii, Asaf, David Botzer, Opher Etzion, and Tali Yatzkar-Haham. "Monitoring business processes through event correlation based on dependency model." In the 2001 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/375663.375759.

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Gong, Ping, Zaiwen Feng, and Jianmin Jiang. "Rule-based monitoring with event correlation for business process compliance." In the first S2 International Coference on Internet of Things. World Press Group, Inc (WPG), 2016. http://dx.doi.org/10.29268/iciot.2016.0006.

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Biryukov, Alexander. "Markovian processes for compatible events and field equations with many points correlations." In The XIXth International Workshop on High Energy Physics and Quantum Field Theory. Trieste, Italy: Sissa Medialab, 2011. http://dx.doi.org/10.22323/1.104.0085.

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Decker, Gero, Alexander Grosskopf, and Alistair Barros. "A Graphical Notation for Modeling Complex Events in Business Processes." In 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007). IEEE, 2007. http://dx.doi.org/10.1109/edoc.2007.41.

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Decker, Gero, Alexander Grosskopf, and Alistair Barros. "A Graphical Notation for Modeling Complex Events in Business Processes." In 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007). IEEE, 2007. http://dx.doi.org/10.1109/edoc.2007.4383979.

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Taylor, P., J. J. Godino, and B. Majeed. "Use of Fuzzy Reasoning in the Simulation of Risk Events in Business Processes." In 22nd Conference on Modelling and Simulation. ECMS, 2008. http://dx.doi.org/10.7148/2008-0025.

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Afanasev, Mikhail A., Mark S. Kliachin, and Diana V. Demidko. "Analysis and Automation of Business Processes of Mass Events Using Situational Management Methodology." In 2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS). IEEE, 2018. http://dx.doi.org/10.1109/itmqis.2018.8525060.

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"Memory as an Elephant: How prior Events Determine User Attitudes in ERP Implementation." In Technologies for Collaborative Business Processes and Management of Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002426800640074.

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