Academic literature on the topic 'Process mining evidential reasoning'

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Journal articles on the topic "Process mining evidential reasoning"

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Zlatkin-Troitschanskaia, Olga, Sebastian Brückner, Marie-Theres Nagel, et al. "PERFORMANCE ASSESSMENT AND DIGITAL TRAINING FRAMEWORK FOR YOUNG PROFESSIONALS' GENERIC AND DOMAIN-SPECIFIC ONLINE REASONING IN LAW, MEDICINE, AND TEACHER PRACTICE." Journal of Supranational Policies of Education (JoSPoE), no. 13 (July 16, 2021): 9–36. http://dx.doi.org/10.15366/jospoe2021.13.001.

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In the digital age, the Internet is increasingly considered a major information source. This is especially true for informal, e.g., post-university, learning. Evidentially, young professionals are increasingly using online sources as an information and learning tool. Critical reasoning from online information for learning and professional processes in the domains of medicine, law, and teaching is considered a highly relevant competence facet. For example, staying up to date on a multitude of matters, e.g., published in articles and guidelines, as is the case in the medical field, can be challe
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Haouas, Fatma, Basel Solaiman, Zouhour Ben Dhiaf, Atef Hamouda, and Khaled Bsaies. "Multi-temporal image change mining based on evidential conflict reasoning." ISPRS Journal of Photogrammetry and Remote Sensing 151 (May 2019): 59–75. http://dx.doi.org/10.1016/j.isprsjprs.2019.02.018.

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Chang, Leilei, Chao Fu, Wei Zhu, and Weiyong Liu. "Belief rule mining using the evidential reasoning rule for medical diagnosis." International Journal of Approximate Reasoning 130 (March 2021): 273–91. http://dx.doi.org/10.1016/j.ijar.2020.12.009.

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Mock, Theodore J., Srinivasan C. Ragothaman, and Rajendra P. Srivastava. "Using Evidential Reasoning Technology to Enhance the Audit Quality Assurance Inspection Process." Journal of Emerging Technologies in Accounting 15, no. 1 (2018): 29–43. http://dx.doi.org/10.2308/jeta-52083.

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ABSTRACT This paper considers the use of an emerging technology based on formal evidential reasoning to help audit quality assurers conduct higher-quality inspections of audit engagements. Although the ideas should be relevant to the inspection process in general, we focus on PCAOB stated objectives and procedures and, as an illustration, the inspection of Satyam Computer Services Limited. To enhance audit quality assurance (AQA), we propose and illustrate a portion of a prototype technology that uses formal evidential reasoning to help assess audit quality. The use of a formal evidential reas
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Sonmez, Mahmut. "Data transformation in the evidential reasoning-based decision making process." International Transactions in Operational Research 14, no. 5 (2007): 411–29. http://dx.doi.org/10.1111/j.1475-3995.2007.00598.x.

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Zhang, Xin, Shuaiwen Tang, Taoyuan Liu, and Bangcheng Zhang. "A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning." Journal of Control Science and Engineering 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/9473526.

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A new residual life prediction method for complex systems based on Wiener process and evidential reasoning is proposed to predict the residual life of complex systems effectively. Moreover, the better maintenance strategies and decision supports are provided. For the residual life prediction of complex systems, the maximum likelihood method is adopted to estimate the drift coefficient, and the Bayesian method is adopted to update the parameters of Wiener process. The process of parameters estimation and the probability density function (PDF) of the residual life are deduced. To improve the acc
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Sönmez, Mahmut, Jian-Bo Yang, G. Graham, and G. D. Holt. "An Evidential Reasoning based Decision Making Process for Pre-qualifying Construction Contractors." Journal of Decision Systems 11, no. 3-4 (2002): 355–81. http://dx.doi.org/10.3166/jds.11.355-381.

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Chang, Rui, Yan Xu, Dan Yu, and Hai Bin Su. "Evaluation of Vehicle Combination Property Based on Evidential Reasoning Method." Advanced Materials Research 433-440 (January 2012): 5142–46. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5142.

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Evaluation of vehicle combination property involves multiple attributes of both a quantitative and qualitative nature with uncertainty, and there is incomplete information in the assessment process .Evidential reasoning(ER) method is introduced to transform quantitative and qualitative information to uniform distribution .With the ER ,the general values of assessment can be obtained through aggregating the lower attributes, then decision is made using utility theory. The example demonstrates the effectiveness of the ER method.
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Zhao, Ruojing, Fengbao Yang, Linna Ji, and Yongqiang Bai. "Dynamic Air Target Threat Assessment Based on Interval-Valued Intuitionistic Fuzzy Sets, Game Theory, and Evidential Reasoning Methodology." Mathematical Problems in Engineering 2021 (June 8, 2021): 1–13. http://dx.doi.org/10.1155/2021/6652706.

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In order to reduce the uncertainty of target threat assessment results and improve exact target assessment in the complicated and changeable air combat environment, a novel method based on the combination of interval-valued intuitionistic fuzzy sets (IVIFSs), game theory, and evidential reasoning methodology is proposed in this paper. First, the imprecise and fuzzy information of battlefield air target is expressed by IVIFS. Second, the optimal index weight is determined by the interval intuitionistic fuzzy entropy and game theory. And the time series weight is calculated by the inverse Poisso
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KIM, KEEHYUNG, HYUKGEUN CHOI, and RI (BOB) McKAY. "AN INTEGRATED FRAMEWORK FOR SUSPECT INVESTIGATION." International Journal on Artificial Intelligence Tools 20, no. 02 (2011): 349–66. http://dx.doi.org/10.1142/s021821301100019x.

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In a complex crime scene with many possible suspects and conflicting evidence, crime investigation requires scientific and logical steps to narrow down the suspects. Since human investigators have difficulty in fully handling all reasoning in this highly complex hypothesis space, we propose a decision support system to aid the investigation process. The system integrates a rule-based reasoner, a Bayesian network for criminal profiling, and an assumption-based truth maintenance system for evidential reasoning to determine the most plausible suspect. The reasoning process reasons about a profili
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Dissertations / Theses on the topic "Process mining evidential reasoning"

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Dayan, Imran. "A method for measuring Internal Fraud Risk (IFR) of business organisations with ERP systems." Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/17556.

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ERP system has shaped the way modern organisations design, control, and execute business processes. It has not only paved the way for efficient use of organisational resources but also offered the opportunity to utilise data logged in the system for ensuring internal control. The key contribution of this research is that it has resulted in a method which can practically be employed by internal auditors for measuring internal fraud risk of business organisations with ERP systems, by utilising process mining technique and evidential reasoning in the form of Bayesian theorem, in a much more effec
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Tocatlidou, Athena. "The use of evidential support logic and a new similarity measurement for fuzzy sets to model the decision making process." Thesis, University of Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337159.

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Detro, Silvana Pereira. "A Framework for Managing Process Variability Through Process Mining and Semantic Reasoning : An Application in Healthcare." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0310/document.

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Les organisations doivent relever le défi d'adapter leurs processus aux changements qui peuvent survenir dans l'environnement dynamique dans lequel elles opèrent. Les adaptations dans le processus aboutissent à plusieurs variantes de processus, c'est-à-dire dans différentes versions du modèle de processus. Les variantes de processus peuvent différer en termes d'activités, de ressources, de flux de contrôle et de données. Ainsi, le concept d'un modèle de processus personnalisable est apparu et il vise à adapter le modèle de processus en fonction des exigences d'un contexte spécifique. Un modèle
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Book chapters on the topic "Process mining evidential reasoning"

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Qafari, Mahnaz Sadat, and Wil M. P. van der Aalst. "Case Level Counterfactual Reasoning in Process Mining." In Lecture Notes in Business Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79108-7_7.

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Calvanese, Diego, Tahir Emre Kalayci, Marco Montali, and Ario Santoso. "OBDA for Log Extraction in Process Mining." In Reasoning Web. Semantic Interoperability on the Web. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61033-7_9.

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Le, Cuong Anh, Van-Nam Huynh, and Akira Shimazu. "An Evidential Reasoning Approach to Weighted Combination of Classifiers for Word Sense Disambiguation." In Machine Learning and Data Mining in Pattern Recognition. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11510888_51.

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Detro, Silvana Pereira, Eduardo Alves Portela Santos, Hervé Panetto, Eduardo de Freitas Rocha Loures, and Mario Lezoche. "Managing Business Process Variability Through Process Mining and Semantic Reasoning: An Application in Healthcare." In Collaboration in a Data-Rich World. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65151-4_31.

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Kostovska, Ana, Sašo Džeroski, and Panče Panov. "Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema." In Discovery Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61527-7_10.

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Abstract With the pervasiveness of data mining (DM) in many areas of our society, the management of digital data, readily available for analysis, has become increasingly important. Consequently, nearly all community accepted guidelines and principles (e.g. FAIR and TRUST) for publishing such data in the digital ecosystem, stress the importance of semantic data enhancement. Having rich semantic annotation of DM datasets would support the data mining process at various choice points, such as data understanding, automatic identification of the analysis task, and reasoning over the obtained results. In this paper, we report on the developments of an ontology-based annotation schema for semantic description of DM datasets. The annotation schema combines three different aspects of semantic annotation, i.e., annotation of provenance, data mining specific, and domain-specific information. We demonstrate the utility of these annotations in two use cases: semantic annotation of remote sensing data and data about neurodegenerative diseases.
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Huynh, Van Nam, Minh Chau Doan, Michitaka Kosaka, and Yoshiteru Nakamori. "Evidential Reasoning-Based Evaluation of Services." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4663-6.ch010.

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Evaluation of services plays an important role in the pre-negotiation process for negotiations over services between autonomous agents. Typically, the service evaluation problem can be regarded as multi-attribute decision making, possibly with uncertainty. This chapter first presents an overview on some decision models, which have been used for evaluating service offers in negotiations, and then discusses the issue of handling uncertainty and imprecision in the service evaluation process by a combined approach for evaluation in order to provide decision support in the pre-negotiation process. Finally, the chapter introduces an evidential reasoning-based model for evaluation of services illustrated by a numerical example.
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Srivastava, Rajendra P., Mari W. Buche, and Tom L. Roberts. "Belief Function Approach to Evidential Reasoning in Causal Maps." In Causal Mapping for Research in Information Technology. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-396-8.ch005.

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The purpose of this chapter is to demonstrate the use of the evidential reasoning approach under the Dempster-Shafer (D-S) theory of belief functions to analyze revealed causal maps (RCM). The participants from information technology (IT) organizations provided the concepts to describe the target phenomenon of Job Satisfaction. They also identified the associations between the concepts. This chapter discusses the steps necessary to transform a causal map into an evidential diagram. The evidential diagram can then be analyzed using belief functions technique with survey data, thereby extending the research from a discovery and explanation stage to testing and prediction. An example is provided to demonstrate these steps. This chapter also provides the basics of Dempster-Shafer theory of belief functions and a step-by-step description of the propagation process of beliefs in tree-like evidential diagrams.
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Naidenova, Xenia. "Machine Learning as a Commonsense Reasoning Process." In Machine Learning. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch201.

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One of the most important tasks in database technology is to combine the following activities: data mining or inferring knowledge from data and query processing or reasoning on acquired knowledge. The solution of this task requires a logical language with unified syntax and semantics for integrating deductive (using knowledge) and inductive (acquiring knowledge) reasoning. In this paper, we propose a unified model of commonsense reasoning. We also demonstrate that a large class of inductive machine learning (ML) algorithms can be transformed into the commonsense reasoning processes based on wellknown deduction and induction logical rules. The concept of a good classification (diagnostic) test (Naidenova & Polegaeva, 1986) is the basis of our approach to combining deductive and inductive reasoning.
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Naidenova, Xenia. "Machine Learning as a Commonsense Reasoning Process." In Handbook of Research on Innovations in Database Technologies and Applications. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-242-8.ch065.

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One of the most important tasks in database technology is to combine the following activities: data mining or inferring knowledge from data and query processing or reasoning on acquired knowledge. The solution of this task requires a logical language with unified syntax and semantics for integrating deductive (using knowledge) and inductive (acquiring knowledge) reasoning. In this paper, we propose a unified model of commonsense reasoning. We also demonstrate that a large class of inductive machine learning (ML) algorithms can be transformed into the commonsense reasoning processes based on wellknown deduction and induction logical rules. The concept of a good classification (diagnostic) test (Naidenova & Polegaeva, 1986) is the basis of our approach to combining deductive and inductive reasoning.
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Santos, Maribel Yasmina, and Luís Alfredo Amaral. "Mining Geo-Referenced Databases." In Data Warehousing and Mining. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-951-9.ch053.

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Knowledge discovery in databases is a process that aims at the discovery of associations within data sets. The analysis of geo-referenced data demands a particular approach in this process. This chapter presents a new approach to the process of knowledge discovery, in which qualitative geographic identifiers give the positional aspects of geographic data. Those identifiers are manipulated using qualitative reasoning principles, which allows for the inference of new spatial relations required for the data mining step of the knowledge discovery process. The efficacy and usefulness of the implemented system — Padrão — has been tested with a bank dataset. The results support that traditional knowledge discovery systems, developed for relational databases and not having semantic knowledge linked to spatial data, can be used in the process of knowledge discovery in geo-referenced databases, since some of this semantic knowledge and the principles of qualitative spatial reasoning are available as spatial domain knowledge.
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Conference papers on the topic "Process mining evidential reasoning"

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Kang, Bingyi, and Yong Deng. "Mining area security warning based on AHP and evidential reasoning." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561182.

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Tacnet, Jean-Marc, and Jean Dezert. "EVIDENTIAL REASONING FOR MULTI-CRITERIA ANALYSIS BASED ON DSMT-AHP." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2011. http://dx.doi.org/10.13033/isahp.y2011.100.

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Li, Weigang, and Chunyan Ma. "Enhance process flexibility by case-based reasoning and process mining." In 2009 ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM). IEEE, 2009. http://dx.doi.org/10.1109/cccm.2009.5267475.

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Berriche, Fatima-Zahra, Besma Zeddini, Hubert Kadima, and Alain Riviere. "Combining Case-Based Reasoning and Process Mining to improve collaborative decision-making in products design." In 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA). IEEE, 2015. http://dx.doi.org/10.1109/aiccsa.2015.7507199.

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Triki, Sameh, Narjes Bellamine Ben Saoud, Julie Dugdale, and Chihab Hanachi. "Coupling Case Based Reasoning and Process Mining for a Web Based Crisis Management Decision Support System." In 2013 IEEE 22nd International Workshop On Enabling Technologies: Infrastructure For Collaborative Enterprises (WETICE). IEEE, 2013. http://dx.doi.org/10.1109/wetice.2013.77.

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Eleye-Datubo, A. G., H. S. Sii, J. Wang, J. B. Yang, and J. Liu. "The Application of Approximate Reasoning Methodologies to Offshore Engineering Design Based on Risk Assessment." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58244.

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In dealing with complex and ill-defined systems of an offshore application, modelling of human reasoning for the purpose of risk assessment requires the effectiveness of a systematic logic-based approach. Floating production, storage and offloading (FPSO) installations, for example, combine traditional process technology with marine technology, and thus are quite dependent on technical design and operational safety control. Such safety-critical dependencies require novel approaches to properly analyse the risk involved. Hence, a proposed framework utilising approximate reasoning and evidential
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Martínez-Millana, Antonio, Laura Martinez-Mateu, Maria S. Guillem, and Vicente Traver. "Public Health Innovations Program tailored to Master on Telecommunications’ Students." In INNODOCT 2020. Editorial Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/inn2020.2020.11860.

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Developed and under-developed countries are facing several challenges related to public health and sustainability of health care systems. New challenges demand of the collaborative action of multiple stakeholders with different backgrounds. In the late years, telecommunication engineers are involved in a wide range of companies and institutions to help designing and building innovative and efficient solutions, among which public health is a paradigmatic example. In this paper authors introduce a program for teaching public health principles and tools focused at telecommunications master studen
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Bandis, Eleftherios, Nikolaos Polatidis, Maria Diapouli, and Stelios Kapetanakis. "Data Stream Harmonization For Heterogeneous Workflows." In 35th ECMS International Conference on Modelling and Simulation. ECMS, 2021. http://dx.doi.org/10.7148/2021-0042.

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Transport infrastructure relies heavily on extended multi sensor networks and data streams to support its advanced real time monitoring and decision making. All relevant stakeholders are highly concerned on how travel patterns, infrastructure capacity and other internal / external factors (such as weather) affect, deteriorate or improve performance. Usually new network infrastructure can be remarkably expensive to build thus the focus is constantly in improving existing workflows, reduce overheads and enforce lean processes. We propose suitable graph-based workflow monitoring met­hods for deve
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Li, Yunpeng, Utpal Roy, Y. Tina Lee, and Sudarsan Rachuri. "Integrating Rule-Based Systems and Data Analytics Tools Using Open Standard PMML." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46412.

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Rule-based expert systems such as CLIPS (C Language Integrated Production System) are 1) based on inductive (if-then) rules to elicit domain knowledge and 2) designed to reason new knowledge based on existing knowledge and given inputs. Recently, data mining techniques have been advocated for discovering knowledge from massive historical or real-time sensor data. Combining top-down expert-driven rule models with bottom-up data-driven prediction models facilitates enrichment and improvement of the predefined knowledge in an expert system with data-driven insights. However, combining is possible
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