BPMN Miner: Automated Discovery of BPMN Process Models with Hierarchical Structure

Existing techniques for automated discovery of process models from event logs gen- erally produce flat process models. Thus, they fail to exploit the notion of subprocess as well as error handling and repetition constructs provided by contemporary process modeling notations, such as the Business Process Model and Notation (BPMN). This paper presents a technique for automated discovery of hierarchical BPMN models con- taining interrupting and non-interrupting boundary events and activity markers. The technique employs functional and inclusion dependency discovery techniques in order to elicit a process-subprocess hierarchy from the event log. Given this hierarchy and the projected logs associated to each node in the hierarchy, parent process and subprocess models are then discovered using existing techniques for flat process model discovery. Finally, the resulting models and logs are heuristically analyzed in order to identify boundary events and markers. By employing approximate dependency discovery tech- niques, it is possible to filter out noise in the event log arising for example from data entry errors or missing events. A validation with one synthetic and two real-life logs shows that process models derived by the proposed technique are more accurate and less complex than those derived with flat process discovery techniques. Meanwhile, a validation on a family of synthetically generated logs shows that the technique is resilient to varying levels of noise.

Towards strongly consistent online HMM parameter estimation using one-step Kerridge inaccuracy

In this paper, we propose a novel online hidden Markov model (HMM) parameter estimator based on the new information-theoretic concept of one-step Kerridge inaccuracy (OKI). Under several regulatory conditions, we establish a convergence result (and some limited strong consistency results) for our proposed online OKI-based parameter estimator. In simulation studies, we illustrate the global convergence behaviour of our proposed estimator and provide a counter-example illustrating the local convergence of other popular HMM parameter estimators.

No laughing matter: Blaming the victim of online fraud

There is a strong sense of negativity associated with online fraud victimization. Despite an increasing awareness, understanding about the reality of victimization experiences is not apparent. Rather, victims of online fraud are constructed as greedy and gullible and there is an overwhelming sense of blame and responsibility levelled at them for the actions that led to their losses. This belief transcends both non-victims and victims. The existence of this victim-blaming discourse is significant. Based on interviews with 85 seniors across Queensland, Australia, who received fraudulent emails, this article establishes the victim-blaming discourse as an overwhelmingly powerful and controlling discourse about online fraud victimization. However, the article also examines how humour acts as a tool to reinforce this discourse by isolating victims and impacting on their ability to disclose to those around them. Identifying and challenging this victim-blaming discourse, as well as the role of humour and its social acceptance, is a first step in the facilitation of victim recovery and future well-being.

Using a free online questionnaire to determine the skills, competencies and knowledge required to work in a digital library environment in Australia

This paper discusses the data collection technique used to determine the skills and knowledge required of academic librarians working in a digital library environment in Australia. The research was undertaken as part of the researcher’s master’s thesis conducted at Tallinn University. The data collection instrument used was a freely available online survey tool, and its advantages and disadvantages are discussed in terms of the desired outcomes and circumstances surrounding the thesis project. Decisions regarding the design of the questionnaire are also discussed.

Application of higher-order spectra for automated grading of diabetic maculopathy

Diabetic macular edema (DME) is one of the most common causes of visual loss among diabetes mellitus patients. Early detection and successive treatment may improve the visual acuity. DME is mainly graded into non-clinically significant macular edema (NCSME) and clinically significant macular edema according to the location of hard exudates in the macula region. DME can be identified by manual examination of fundus images. It is laborious and resource intensive. Hence, in this work, automated grading of DME is proposed using higher-order spectra (HOS) of Radon transform projections of the fundus images. We have used third-order cumulants and bispectrum magnitude, in this work, as features, and compared their performance. They can capture subtle changes in the fundus image. Spectral regression discriminant analysis (SRDA) reduces feature dimension, and minimum redundancy maximum relevance method is used to rank the significant SRDA components. Ranked features are fed to various supervised classifiers, viz. Naive Bayes, AdaBoost and support vector machine, to discriminate No DME, NCSME and clinically significant macular edema classes. The performance of our system is evaluated using the publicly available MESSIDOR dataset (300 images) and also verified with a local dataset (300 images). Our results show that HOS cumulants and bispectrum magnitude obtained an average accuracy of 95.56 and 94.39 % for MESSIDOR dataset and 95.93 and 93.33 % for local dataset, respectively.

Re-examining online customer experience to include purchase frequency and perceived risk

This research examines the important emerging area of online customer experience (OCE) using data collected from an online survey of frequent and infrequent online shoppers. The study examines a model of antecedents for cognitive and affective experiential states and their influence on outcomes, such as online shopping satisfaction and repurchase intentions. The model also examines the relationships between perceived risk, trust, satisfaction and repurchase intentions. Theoretically, the study provides a broader understanding of OCE, through insights into two shopper segments identified as being important in e-retailing. For managers, the study highlights areas of OCE and their implications for ongoing management of the online channel.

Online self-disclosure across cultures: A study of Facebook use in Saudi Arabia and Australia

This research aimed to gain a sophisticated understanding of self-disclosure on Facebook across two distinctive cultures, Saudi Arabia and Australia. This study utilised an explanatory sequential mixed methods design, consisting of a quantitative phase followed by a qualitative phase. Findings from both quantitative and qualitative data provide a broad understanding of the types of information that people self-disclose on Facebook, identifies factors that have a significant influence (either positive or negative) on such disclosure, and explains how it is affected by one's national culture.

Wikis for women's health: Social constructivist analysis of the effectiveness of online collaborative spaces for reflective learning

Public Health undergraduate students studying the unit Women’s Health undertook a teaching and learning exercise which required them to learn to create and use a wiki website for reflective learning purposes. The Women’s Health wiki provided an online shared, collaborative, and creative space wherein the students’ perceptions of women's health issues could be discussed, reflected upon, and debated. We analysed the content developed on the Women’s Health wiki using a social constructivist theoretical framework and provided a theoretical model for how the wiki worked to aid reflective and critical thinking, as well as developing technological and communicative skills amongst students.

Semi-automated annotation of environmental acoustic recordings

Environmental sensors collect massive amounts of audio data. This thesis investigates computational methods to support human analysts in identifying faunal vocalisations from that audio. A series of experiments was conducted to trial the effectiveness of novel user interfaces. This research examines the rapid scanning of spectrograms, decision support tools for users, and cleaning methods for folksonomies. Together, these investigations demonstrate that providing computational support to human analysts increases their efficiency and accuracy; this allows bioacoustics projects to efficiently utilise their valuable human analysts.

Sense of community, social identity and social support among players of massively multiplayer online games (MMOGs): A qualitative analysis

The majority of research examining massively multiplayer online game (MMOG)-based social relationships has used quantitative methodologies. The present study used qualitative semi-structured interviews with 22 Australian World of Warcraft (WoW) players to examine their experiences of MMOG-based social relationships. Interview transcripts underwent thematic analysis and revealed that participants reported experiencing an MMOG-based sense of community (a sense of belonging within the gaming or WoW community), discussed a number of different MMOG-based social identities (such as gamer, WoW player and guild or group member) and stated that they derived social support (a perception that one is cared for and may access resources from others within a group) from their relationships with other players. The findings of this study confirm that MMOG players can form gaming communities. Almost all participants accessed or provided in-game social support, and some gave or received broader emotional support. Players also identified as gamers and guild members. Fewer participants identified as WoW players. Findings indicated that changes to the game environment influence these relationships and further exploration of players' experiences could determine the optimal game features to enhance positive connections with fellow players.

Submission to Senate Standing Committee on Legal and Constitutional Affairs on the Copyright Amendment (Online Infringement) Bill 2015

We argue that safeguards are necessary to ensure human rights are adequately protected. All systems of blocking access to online content necessarily raise difficult and problematic issues of infringement of freedom of speech and access to information. Given the importance of access to information across the breadth of modern life, great care must be taken to ensure that any measures designed to protect copyright by blocking access to online locations are proportionate. Any measures to block access to online content must be carefully tailored to avoid serious and disproportionate impact on human rights. This means first that the measures must be effective and adapted to achieve a legitimate purpose. The experience of foreign jurisdictions suggests that this legislation is unlikely to be effective. Unless and until there is clear evidence that the proposed scheme is likely to increase effective returns to Australian creators, this legislation should not be introduced. Second, the principle of proportionality requires ensuring that the proposed legislation does not unnecessarily burden legitimate speech or access to information. As currently worded, the draft legislation may result in online locations being blocked even though they would, if operated in Australia, not contravene Australian law. This is unacceptable, and if introduced, the law should be drafted so that it is clearly limited only to foreign locations where there is clear and compelling evidence that the location would authorise copyright infringement if it were in Australia. Third, proportionality requires that measures are reasonable and strike an appropriate balance between competing interests. This draft legislation provides few safeguards for the public interest or the interests of private actors who would access legitimate information. New safeguards should be introduced to ensure that the public interest is well represented at both the stage of the primary application and at any applications to rescind or vary injunctions. We recommend that: The legislation not be introduced unless and until there is compelling evidence that it will have a real and significant positive impact on the effective incomes of Australian creators. The ‘facilitates an infringement’ test in s 115A(1)(b) should be replaced with ‘authorises infringement’. The ‘primary purpose’ test in s 115A(1)(c) should be replaced with: “the online location has no substantial non-infringing uses”. An explicit role for public interest groups as amici curiae should be introduced. Costs of successful applications should be borne by applicants. Injunctions should be valid only for renewable two year terms. Section 115A(5) should be clarified, and cl (b) and (c) be removed. The effectiveness of the scheme should be evaluated in two years.

Use of online health information to manage children’s health care: A prospective study investigating parental decisions

Background The use of the internet to access information is rapidly increasing; however, the quality of health information provided on various online sites is questionable. We aimed to examine the underlying factors that guide parents' decisions to use online information to manage their child's health care, a behaviour which has not yet been explored systematically. Methods Parents (N=391) completed a questionnaire assessing the standard theory of planned behaviour (TPB) measures of attitude, subjective norm, perceived behavioural control (PBC), and intention as well as the underlying TPB belief-based items (i.e., behavioural, normative, and control beliefs) in addition to a measure of perceived risk and demographic variables. Two months later, consenting parents completed a follow-up telephone questionnaire which assessed the decisions they had made regarding their use of online information to manage their child's health care during the previous 2 months. Results We found support for the TPB constructs of attitude, subjective norm, and PBC as well as the additional construct of perceived risk in predicting parents' intentions to use online information to manage their child's health care, with further support found for intentions, but not PBC, in predicting parents' behaviour. The results of the TPB belief-based analyses also revealed important information about the critical beliefs that guide parents' decisions to engage in this child health management behaviour. Conclusions This theory-based investigation to understand parents' motivations and online information-seeking behaviour is key to developing recommendations and policies to guide more appropriate help-seeking actions among parents.

It’s my site, and I’ll do what I want: Performing female identity through digital identity curation in online spaces

This chapter is based on a qualitative case study that researched the perceptions of nine male and female pre-service English teachers’ in regards to their preparedness to mentor positive digital conduct in Social network sites (SNS). These sites enable individuals to perform public representations of identity, consumed by virtual audiences, with various degrees of perceived privacy. The chapter frames what we call “identity curation” through three theoretical lenses; of performativity, customisation and critical literacy. This chapter discusses one of the themes that emerged from the research, which is the way in which “normalised” and naturalised representations of femineity on SNS were judged more harshly than masculine representations.

RuleOMS: A rule-based online management system

We propose an architecture for a rule-based online management systems (RuleOMS). Typically, many domain areas face the problem that stakeholders maintain databases of their business core information and they have to take decisions or create reports according to guidelines, policies or regulations. To address this issue we propose the integration of databases, in particular relational databases, with a logic reasoner and rule engine. We argue that defeasible logic is an appropriate formalism to model rules, in particular when the rules are meant to model regulations. The resulting RuleOMS provides an efficient and flexible solution to the problem at hand using defeasible inference. A case study of an online child care management system is used to illustrate the proposed architecture.