scholarly journals Systematic review on process mining and security

2018 ◽  
Vol 325 ◽  
pp. 145-164
Author(s):  
Robert Kelemen

Security is an important issue that every organisation should address. One approach to secure systems could be the use of process mining techniques. Process mining is an emerging discipline which can extract knowledge from event logs that are available in information systems. In the security context, process mining is used to analyse security trails to detect anomalies in process execution. While some of the data mining projects are already implemented in banking, insurance and telecom sector the interesting question is: What is happening in public sector? This paper investigates the research on process mining techniques in security domain and tries to discover the examples of its implementation especially in public sector. The systematic review has been conducted in order to give an overview of state-of-the-art process mining techniques used in security context, to classify the main areas of development, algorithms, tools and to identify possible future research course.

2021 ◽  
Vol 4 ◽  
Author(s):  
Rashid Zaman ◽  
Marwan Hassani ◽  
Boudewijn F. Van Dongen

In the context of process mining, event logs consist of process instances called cases. Conformance checking is a process mining task that inspects whether a log file is conformant with an existing process model. This inspection is additionally quantifying the conformance in an explainable manner. Online conformance checking processes streaming event logs by having precise insights into the running cases and timely mitigating non-conformance, if any. State-of-the-art online conformance checking approaches bound the memory by either delimiting storage of the events per case or limiting the number of cases to a specific window width. The former technique still requires unbounded memory as the number of cases to store is unlimited, while the latter technique forgets running, not yet concluded, cases to conform to the limited window width. Consequently, the processing system may later encounter events that represent some intermediate activity as per the process model and for which the relevant case has been forgotten, to be referred to as orphan events. The naïve approach to cope with an orphan event is to either neglect its relevant case for conformance checking or treat it as an altogether new case. However, this might result in misleading process insights, for instance, overestimated non-conformance. In order to bound memory yet effectively incorporate the orphan events into processing, we propose an imputation of missing-prefix approach for such orphan events. Our approach utilizes the existing process model for imputing the missing prefix. Furthermore, we leverage the case storage management to increase the accuracy of the prefix prediction. We propose a systematic forgetting mechanism that distinguishes and forgets the cases that can be reliably regenerated as prefix upon receipt of their future orphan event. We evaluate the efficacy of our proposed approach through multiple experiments with synthetic and three real event logs while simulating a streaming setting. Our approach achieves considerably higher realistic conformance statistics than the state of the art while requiring the same storage.


2018 ◽  
Vol 8 (5) ◽  
pp. 529-546
Author(s):  
Christofer Laurell ◽  
Sten Soderman

PurposeThe purpose of this paper is to provide a systematic review of articles on sport published in leading business studies journals within marketing, organisational studies and strategy.Design/methodology/approachBased on a review of 38 identified articles within the subfields of marketing, strategy and organisation studies published between 2000 and 2015, the articles’ topical, theoretical and methodological orientation within the studied subfields were analysed followed by a cross-subfield analysis.FindingsThe authors identify considerable differences in topical, theoretical and methodological orientation among the studied subfields’ associated articles. Overall, the authors also find that articles across all subfields tend to be focussed on contributing to mature theory, even though the subfield of marketing in particular exhibits contributions to nascent theory in contrast to organisation studies and strategy.Originality/valueThis paper contributes by illustrating the current state of research that is devoted or related to the phenomenon of sport within three subfields in business studies. Furthermore, the authors discuss the role played by leading business studies journalsvis-à-vissport sector-specific journals and offer avenues for future research.


2019 ◽  
Vol 32 (1) ◽  
pp. 21-41 ◽  
Author(s):  
Floriana Fusco ◽  
Paolo Ricci

PurposeThe purpose of this paper is to provide a picture of the state of the art in social and environmental accounting research applied to the public sector, highlighting different streams and the main gaps in current literature and providing input for future research.Design/methodology/approachA bibliometric method was used to analyse the characteristics, citation patterns and content of 38 papers published in international academic journals.FindingsThe findings show that the research on social and environmental reporting in the public sector is still at an early stage. Current investigations, although slowly on the increase, are still very few and localised. Most papers are about the reasons why public organisations report, what and how they report, but there are so many aspects that need to be investigated more in-depth or require extra validation in order to open new directions for future research, among which the relationship with and the differences between other non-financial type of reporting, namely ICR and IR.Research limitations/implicationsThe study shows some limitations, mainly related to the adoption of the bibliometric method. Indeed, it does not take into account books and chapters but only papers published in international and academic journals. This leads to exclude a significant part of the existing literature and other relevant contributions on the field.Originality/valueSocial and environmental reporting practices are quickly spreading in the public sector. The field is particularly interesting, given the specific connotations of this kind of organisations. However, the literature is clearly not exhaustive and there is not a comprehensive and systematic review of the state of the art on the subject.


2021 ◽  
Vol 17 (1) ◽  
pp. 97-122
Author(s):  
Mohamed Hassan Mohamed Ali ◽  
Said Fathalla ◽  
Mohamed Kholief ◽  
Yasser Fouad Hassan

Ontologies, as semantic knowledge representation, have a crucial role in various information systems. The main pitfall of manually building ontologies is effort and time-consuming. Ontology learning is a key solution. Learning Non-Taxonomic Relationships of Ontologies (LNTRO) is the process of automatic/semi-automatic extraction of all possible relationships between concepts in a specific domain, except the hierarchal relations. Most of the research works focused on the extraction of concepts and taxonomic relations in the ontology learning process. This article presents the results of a systematic review of the state-of-the-art approaches for LNTRO. Sixteen approaches have been described and qualitatively analyzed. The solutions they provide are discussed along with their respective positive and negative aspects. The goal is to provide researchers in this area a comprehensive understanding of the drawbacks of the existing work, thereby encouraging further improvement of the research work in this area. Furthermore, this article proposes a set of recommendations for future research.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 76541-76567 ◽  
Author(s):  
Muktar Yahuza ◽  
Mohd Yamani Idna Bin Idris ◽  
Ainuddin Wahid Bin Abdul Wahab ◽  
Anthony T. S. Ho ◽  
Suleman Khan ◽  
...  

2019 ◽  
Vol 20 (6) ◽  
pp. 730-750
Author(s):  
Maja Müller ◽  
Signe Pihl-Thingvad

Summary This article focuses on user involvement in social work innovations in the public sector and provides an overview of how public innovation via user involvement in social work has been studied to date. Through analyses based on a systematic review combined with a narrative review of the identified literature, we offer a typology of social work innovations. The article concludes by discussing possibilities and barriers inherent in user involvement in social work and suggesting topics for future research. Findings Through a systematic review we identify the relevant literature describing different kinds of user involvement in social work innovation. In the narrative review, we analyze the literature and identify three types of innovation: user-centered innovation, co-produced innovation, and citizen-driven innovation. With empirical examples we illustrate the different types of innovation and the citizen’s role in the different innovation processes. Application The typology provides an analytic tool to differentiate types of innovation and user involvement, but it may also function as inspiration to practitioners to reflect more about the roles of users and frontline workers and to be more aware of existing barriers when designing new social initiatives in the public sector.


2017 ◽  
Vol 12 (12) ◽  
pp. 119 ◽  
Author(s):  
Marco Bisogno ◽  
Francesca Citro ◽  
Serena Santis ◽  
Aurelio Tommasetti

The study investigates previous research concerning disclosure quality measurement in the public sector context. The principal motivation for undertaking this analysis is the growing body of literature that has examined this issue from different perspectives in light of the increasing attention paid by academics and practitioners to the transparency and accountability of public sector entities. The study adopts a structured research methodology, aiming to offer a critical overview of the state of the art, highlighting the main issues investigated by scholars and the areas of research which are under-investigated, unveiling emerging gaps. In so doing, this study outlines a future research agenda.


2019 ◽  
Vol 16 (2) ◽  
pp. 59-67
Author(s):  
Mieke Jans

ABSTRACT Applying process mining as an analytical procedure is a relatively young stream of thought in auditing. This paper examines the first step of such process-mining projects, which involves extracting and structuring the data in the required format for analysis. The article has a dual purpose: (1) to provide an overview of the choices to be made in this phase, and (2) to provide insights into the current event log preferences of auditors. These insights are valuable for a better understanding of how event logs are currently structured, along with the consequences of this structure for the analytical procedure. This matter is important because different preparation steps could lead to varying analytical procedures and consequently, to other audit evidence. This study also aims to reveal what data are perceived as most valuable to the auditor for further analysis. To address this goal, a case study has been conducted.


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