Essay: Challenges And Solutions In Process Mining For Event Log And Model Reconciliation.

Quality challenges in event logs and process models

In Log and Model We Trust? Discuss.

While models and event logs are promptly accessible in current Organizations, their quality would seldom be able to be trusted. Crude event accounts are frequently uproarious, deficient, and contain wrong recordings. The mentioned quality issues are considered as a challenge and depends on quality issues, parameters, which can shape the models like a domain expertise of the modelers as well as quality of executing data. The mentioned quality issues  are considered as a challenge for checking conference. It is the process mining task aiming to copy lower model of quality through comparing the model against the blog of corresponding. On the other hand, prevalent assumption in the existing literature is considered as the framework and  caters to the general case. On the other hand, in experimenting the process framework, it is required to balance trust in the mode as well as log for generalization of the state-of-art conference and checking techniques

Business process management assumes a critical part in current Organizations that go for enhancing the viability and proficiency of their procedures. To help with achieving this objective, the examination zone of process mining offers large number of methods to break down event logs that convey information from business forms. Process mining explores the interchange among the real world, its revealed perceptions (event log), and a comparing procedure display (De Leoni et al. 2016). On the other hand, reality is unknown and left with the requirement for reconciling the event log as well as process model.  The evidence of specific behavior may be present in the case. Conference of customers and checking techniques are not able to reconcile the log as well as process model. The evidence of specific behavior may be present in the recent scenario.

In this perspective, it is required to consider that the issues are defining the levels of trust for model as well as log to catering for the process of uncertainty. Hence, it is required the issue of optimally reconciling an event log with process model. In the extended process, it is required to present the outcomes of work. Hence, outlining several processes of mining tasks can be regarded as special cases for developing generic issue. The issue development cannot be processed between process model along with event log through providing descriptions  of misalignments (Haas et al. 2015). Organizations are searching out better approaches to screen the run-time conduct of their business forms. With process mining procedures, it becomes conceivable to remove process models from event logs and contrast them with the normal conduct. However, each procedure mining method has its own benefits and distinctive systems deliver various types of models. The utilization of an assessment instrument wound up essential. In light of process conformance, this work shows another assessment system, utilizing process recreation and an arrangement of measurements to look at the event logs delivered by various models. This structure gives an appraisal of the abilities of the accessible procedure mining strategies (Hashmi et al. 2016). In light of a similar assessment technique, it is likewise proposed a system to assess process conformance between an event log and a model. With that, a bland system assessment for process mining and process conformance is proposed, expanding the investigation strategies for the two methods.

Process mining for business process management

Due either to enactment or aggressive powers, as of late there has been an expanding enthusiasm from Organizations in observing the run-time conduct of their business forms. In the meantime, business forms are being actualized, robotized and supported by process-mindful data frameworks, which monitor process execution by recording pertinent information, client data, and work process events as business exercises are performed. From these information it is conceivable to apply process mining systems to find the run-time conduct of those procedures. The idea of conformance checking has been proposed as approach to look at the normal conduct of business forms with the conduct that has been really seen at run-time. More often than not, there will be a procedure show depicting the normal conduct, and there will be an event log containing the events recorded amid the execution of a few examples from that procedure. Conformance checking goes for surveying how much the conduct in the event log acclimates with the predefined procedure demonstrates (Kalenkova et al. 2017). This can be evaluated quantitatively by methods for measurements, for example, wellness and suitability. Another way to deal with process conformance is displayed in where the creators make utilization of a rationale formalism to assess the arrangement between what they call legitimate space and the business space. The connection between process mining and conformance checking is twofold. On one hand, process mining can help find the run-time conducts that will be checked for conformance against a predefined procedure demonstrate. Then again, conformance checking can be utilized as an apparatus to assess the nature of process models separated from events logs utilizing diverse process mining strategies.

In order to solve the issue, twp-step divide as well as conquer approach can be processed. The major idea of the approach can be avoided inherent complexity that is induced by freedom and making change the model through making sequentialization. Hence, it is required to identify the model space through mining a model and representing the event logs in the discovered counterparts (Leemans et al. 2018). It is important to make approximate process through applying the space model, respect by not allowing moving and determining log for determining the share, and corrected in the log. For an instance, trusting on the log and corrected the process completely.

There are a few procedure-mining methods accessible inside the ProM system and these strategies deliver various types of models. It might be hard to contrast the consequences of process mining and a predefined procedure show if the conduct of the mined model is to be sure not the same as the predefined display and if the predefined demonstrate has been depicted utilizing an alternate demonstrating documentation. To address these issues, we swing to a conformance structure that depends on recreation, where the objective is to analyze two process models in light of the event logs that these models can create, as opposed to on their real depiction (Bernardi et al. 2016). The approach has a probabilistic nature and using a metric, it can measure how much two models deliver comparable conduct. In this perspective, it is required to extend the approach that is already available in literature. On the other hand, it is required to support for multiperspective models as well as logs. The proposed framework is able for covering spectrum and makes possible for the scenarios, which is observed in the real market.

Conformance checking and its importance

On the other hand, process mining is seen as missing link between data mining as well as business process management. The process mining research has devoted to the process of discovery of procedural process models. However, a predefined constraint is helpful to describe normative and expected procedure (Cervantes et al. 2017). On the other hand, the resulting approach can be declarative process is important for the organization that is helpful to provide sophisticated diagnostic approach and makes the pinpoint where deviations can occur as well as severe they are. However, it is required to develop selected parts of the process model that can be used to clean as well as provide proper effective process that can enhance the mining techniques.

Traditional workflow management as well as business process management systems are usually based on the concept that procedures are explained through procedural languages where it is required for completion of tasks that can enable the models to be used. Users require reacting for exceptional situations along with executing the procedure in proper way. Declarative procedure models can acknowledge the aim through providing freedom without having any unessential restriction of the users (Song et al. 2018). Declarative process model can acknowledge the aim at providing freedom without the process. WFM as well as BPMs systems have tendency working in specific way. It may result in the desirable deviations. Hence, it is required to manage the process and functionally in several systems in order to deal with expectations (Armas-Cervantes et al. 2017). The process models are helpful for the organization utilizing emergency systems. The process models are helpful to generate information system and make the process for the organization. The concept of alignment is successfully used in the current context of procedural tools. The log-model alignment is the major input of wide range techniques for analysis of declarative procedure. In this point, it is important to develop the process that makes the input process easier. 

However, it is the concern for people using the case that can clear the point as well as declarative process. The second use case is related to checking conference of the event and helpful for the organization. It is supported by functionalities, which are available for supporting the functions (Adriansyah et al. 2015). The approach feasibility is validated. It goes beyond of the process and aims to evaluate relevance as well as usefulness in the real scenario. The same event log is associated with the process.  The clean log includes traces, which cannot violate the core limitations. Hence, the degree of conference that is helpful for doing some activities. Thus, selection of activity and number of moves is important where activities are involved.  The process mining engaged into the active research field for introduction of the process.

Two-step divide and conquer approach for event log and model reconciliation

In this perspective, it is required to propose a framework that will be helpful for the analysis of Declare models based on the cases supported by ProM as well as based on the log-model alignment. Evaluation of performance can be strengthened the process by providing detailed analysis of the approach (Olsson et al. 2016). Hence, presenting a novel log processing as well as conformance checking approach can be helpful for the organization to develop the process. In addition, the techniques have tendency to provide poor diagnosis of the fraction of fitting cases. It is important to process align-based approaches that is able to deal with large search spaces and induced through inherent the process. On the other hand, it is required to develop the model that makes the process and behavior as powerful tool when it is related to observed behavior (Bogarín et al. 2018). Thus, possible applications of the alignment-based approach deals with clearing event logs in order to remove traces, which need to be used for analysis. Diagnosis event logs for checking conformance need deviations as well as measure compliance scores along with necessary constraints satisfied before making any analysis.

The presented approach is deployed in the process where implementation is an important aspect for the organizations. In addition, the degree of conference is extended the approach for incorporating with the approach. Planning the process as well as activities are important and incorporating different perspectives (Nguyen et al. 2015). Discrepancies between log as well as model are the alignments that make the declarative process mining techniques. On the other hand, clean as well as repair the event log before making application of process mining techniques. On the other hand, collection of the constraint explains normative and expected process and collection of the process. Hence, it is required to develop models that are based on the model. Declarative process models have acknowledge it as well as aim to provide freedom without specific restricting the users.

Conclusion

In the current work, generalization of conference checking issue, it can strive for maintaining balance between the independent parameters. The trust in log quality as well as trust in model quality. Presenting an event log with the event log as well as process model is important. On the other hand, generalized conference-checking attempts at repairing the process and as per the levels of initial trust. It returns an enhanced log-model as well as repairing the techniques in the model quality measures. Process mining is helpful to represent a vital field in BPM as well as data mining research. At current days, the evaluation process mining algorithms need data mining task as well as availability of large amount of real world data.  However, increasing availability of the dataset, it is required to process data and make the process appropriate

References

Adriansyah, A., Munoz-Gama, J., Carmona, J., van Dongen, B.F. and van der Aalst, W.M., 2015. Measuring precision of modeled behavior. Information systems and e-Business Management, 13(1), pp.37-67.

Armas-Cervantes, A., La Rosa, M., Dumas Menjivar, M., García-Bañuelos, L. and van Beest, N.R., 2017. Interactive and incremental business process model repair.

Bernardi, S., Requeno, J.I., Joubert, C. and Romeu, A., 2016, July. A systematic approach for performance evaluation using process mining: the POSIDONIA operations case study. In Proceedings of the 2nd International Workshop on Quality-Aware DevOps (pp. 24-29). ACM.

Bogarín, A., Cerezo, R. and Romero, C., 2018. A survey on educational process mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1).

Cervantes, A.A., van Beest, N.R., La Rosa, M., Dumas, M. and García-Bañuelos, L., 2017, September. Interactive and Incremental Business Process Model Repair. In OTM Confederated International Conferences" On the Move to Meaningful Internet Systems" (pp. 53-74). Springer, Cham.

De Leoni, M., van der Aalst, W.M. and Dees, M., 2016. A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs. Information Systems, 56, pp.235-257.

Haas, N.E., Van Craen, M., Skogan, W.G. and Fleitas, D.M., 2015. Explaining officer compliance: The importance of procedural justice and trust inside a police organization. Criminology & criminal justice, 15(4), pp.442-463.

Hashmi, M., Governatori, G. and Wynn, M.T., 2016. Normative requirements for regulatory compliance: An abstract formal framework. Information Systems Frontiers, 18(3), pp.429-455.a

Kalenkova, A.A., van der Aalst, W.M., Lomazova, I.A. and Rubin, V.A., 2017. Process mining using BPMN: relating event logs and process models. Software & Systems Modeling, 16(4), pp.1019-1048.

Leemans, S.J., Fahland, D. and Van der Aalst, W.M., 2018. Scalable process discovery and conformance checking. Software & Systems Modeling, 17(2), pp.599-631.

Nguyen, H.T., Vu, A.V., Nguyen, D.L., Tran, M.N., Ngo, Q.T., Truong, T.H., Nguyen, T.H. and Magedanz, T., 2015. A generalized resource allocation framework in support of multi-layer virtual network embedding based on SDN. Computer Networks, 92, pp.251-269.

Olsson, T., Toll, D., Ericsson, M. and Wingkvist, A., 2016, November. Evaluation of an architectural conformance checking software service. In Proccedings of the 10th European Conference on Software Architecture Workshops(p. 15). ACM.

Song, W., Jacobsen, H.A., Zhang, C. and Ma, X., 2018. Dependence-Based Data-Aware Process Conformance Checking. IEEE Transactions on Services Computing