A data mining framework for relevance feature discovery

This thesis is a study for automatic discovery of text features for describing user information needs. It presents an innovative data-mining approach that discovers useful knowledge from both relevance and non-relevance feedback information. The proposed approach can largely reduce noises in discovered patterns and significantly improve the performance of text mining systems. This study provides a promising method for the study of Data Mining and Web Intelligence.

Stitching at the boundaries : Vietnamese garment industry workers in transnational spaces

This paper explores the interfaces between the transnational politics of labour and the experiences of Vietnamese women garment workers both in Vietnam and as migrants to other countries. As the global industries have come to organise much of the contemporary economic system, so too have they crossed national boundaries in search of cheap labour. At the same time enclaves of migrant disadvantage within the multi-ethnic nation-states of the developed world have also provided workers for the manufacture of clothing. In the case of Australia, these workers are mostly home-based and not in factories. In this paper I explore Vietnamese women's different incorporations into the garment industry in various locations – in Australia, in Vietnam, and in American Samoa. In so doing, I provide an analysis of the links between gender, global power relations and the contradictory space of transnational exchange.

Mining temporal and spatial travel regularities for transit planning

Smart Card data from Automated Fare Collection system has been considered as a promising source of information for transit planning. However, literature has been limited to mining travel patterns from transit users and suggesting the potential of using this information. This paper proposes a method for mining spatial regular origins-destinations and temporal habitual travelling time from transit users. These travel regularity are discussed as being useful for transit planning. After reconstructing the travel itineraries, three levels of Density-Based Spatial Clustering of Application with Noise (DBSCAN) have been utilised to retrieve travel regularity of each of each frequent transit users. Analyses of passenger classifications and personal travel time variability estimation are performed as the examples of using travel regularity in transit planning. The methodology introduced in this paper is of interest for transit authorities in planning and managements

Practical applications for clay-derived zeolite N : an ammonium-selective ion exchanger for industry use

Over the past ten years, scaled-up utilisation of a previously under-exploited zeolite, Zeolite N1, has been demonstrated for selective ion exchange of ammonium and other ions in aqueous environments. As with many zeolite syntheses, the required source material should contain predictable levels of aluminium and silicon and, for full-scale industrial applications, kaolin and/or montmorillonite serve such a purpose. Field, pilot and commercial scale trials of kaolin-derived Zeolite N have focused on applications in agriculture and water treatment as these sectors are primary producers or users of ammonium. The format for the material – as fine powders, granules or extrudates – depends on the specific application albeit each has been evaluated.

Equal employment opportunity and its links to the participation of women in the construction industry : the case of Australia

Australia is currently experiencing a resources boom and jobs in the male dominated fields of construction and engineering are at a premium. Employment in the construction industry, historically and today, is overwhelmingly male and, with an ageing population this predominately older male workforce will be retiring in greater numbers in the coming decade. Despite more that 25 years of anti- discrimination legislation and equal opportunity legislation these industries still employ few women in operational roles. This paper investigates the issue of the low representation of women in the construction industry. Our investigation involves the analysis of 95 organisation progress reports on the equal opportunity strategic programs in the construction industry. Findings indicate that this industry is not engaging with equal employment opportunity programs and further that equity outcomes for women in the industry are not evident.

High-risk, high-stake relationships: building effective industry-university partnerships for Work Integrated Learning (WIL)

Many industry peak and professional bodies advocate students undertake professional work placements as a key work integrated learning (WIL) experience in accredited university degree courses. However, mismatched expectations and gaps in the way industry partners (IPs) are supported during these work placements can place these high-stake alliances at risk. A review of models and strategies supporting industry partners indicates many are contingent on the continued efforts of well-networked individuals in both universities and IP organisations to make these connections work. It is argued that whilst these individuals are highly valued they often end up representing a whole course or industry perspective, not just their area of expertise. Sustainable partnership principles and practices with shared responsibility across stakeholder groups are needed instead. This paper provides an overview of work placement approaches in the disciplines of business, engineering and urban development at an Australian, metropolitan university. Employing action research and participatory focus group methodologies, it gathers and articulates recommendations from associated IPs on practical suggestions and strategies to improve relationships and the resultant quality of placements.

Industry-school partnerships : an ecological approach

Internationally, Industry-School Partnerships (ISPs) are a ubiquitous government approach for enabling school to work transitions. Significant benefits of ISPs for centralised bureaucracies that are seeking to address common educational problems include: i) cost reduction; ii) supply to geographically dispersed locations, and; iii) industry access to innovative education solutions. In Queensland, there exists a government led ISP, the Gateway to Industry Schools Program. Under this initiative is the Queensland Minerals and Energy Academy, a lead industry organisation for 34 schools and 17 multinational sponsor companies. Acquiring an understanding of this strategic ISP is critical, given the current Resources Industry boom, and the workforce skills shortage experienced in Australia. This review paper adopts Ecological Systems Theory as a lens to understand the inner workings of ISPs. Acknowledging that ISPs will remain a key feature of government policy, this paper seeks to further illuminate the role of ISPs in transitioning young people from school to the working world.

School industry partnerships : An innovative strategy for vocational education

One of the challenges confronting contemporary education internationally is to ensure that students are provided with opportunities to make informed choices about future careers and to acquire the capacity to transition into these careers. Schools need to manage their curricula, teacher capacity, timetables, and diversity of student populations by offering pathways that are seen as engaging and meaningful to life beyond schooling. Traditionally, education in the senior years has privileged those students who intend to progress to advanced studies at university or in other professional careers. In more recent times, in response the need for more sophisticated technical knowledge in the trades and a growing skills shortages in these fields, schools have paid more attention to vocational education. It has been argued that the vocational aspect of the school curriculum is less well understood and poorly implemented in comparison with the traditional academic curricula. One attempt to address this issue is through the establishment of school-industry partnerships. This paper explores the process of knowledge transfer between industry and schools in these partnerships. The paper theorises how knowledge that is valued and foundational in workplace employment can inform school curricula and pedagogical practices. The paper draws on theories of organisational knowledge, workplace learning and experiential learning to explore strategies that enhance school-to-employment transition outcomes.

Industry school partnerships: Boundary crossing to enable school to work transitions

Industry-school partnerships (ISPs) are increasingly being recognised as a new way of providing vocational education opportunities. However, there is limited research investigating their impact on school to work transitions. This paper reports on a government-led ISP, the Gateway to Industry Schools Program, established in Queensland, Australia. Central to this initiative is the Queensland Minerals and Energy Academy (QMEA), a lead organisation for 28 schools and 17 multi-national sponsor companies. This research adopted a qualitative case study methodology and draws upon boundary crossing theory as means to understand a Minerals and Energy ISP. We distinguish four types of boundary crossing mechanisms, which align with principles for effectiveness in ISPs. The main findings were that boundary crossing mechanisms assist ISPs to develop industry-based contextualised curriculum and to prepare school students for employment.

Personalized ontology learning for enhancing text mining effectiveness

Over the last decade, the majority of existing search techniques is either keyword- based or category-based, resulting in unsatisfactory effectiveness. Meanwhile, studies have illustrated that more than 80% of users preferred personalized search results. As a result, many studies paid a great deal of efforts (referred to as col- laborative filtering) investigating on personalized notions for enhancing retrieval performance. One of the fundamental yet most challenging steps is to capture precise user information needs. Most Web users are inexperienced or lack the capability to express their needs properly, whereas the existent retrieval systems are highly sensitive to vocabulary. Researchers have increasingly proposed the utilization of ontology-based tech- niques to improve current mining approaches. The related techniques are not only able to refine search intentions among specific generic domains, but also to access new knowledge by tracking semantic relations. In recent years, some researchers have attempted to build ontological user profiles according to discovered user background knowledge. The knowledge is considered to be both global and lo- cal analyses, which aim to produce tailored ontologies by a group of concepts. However, a key problem here that has not been addressed is: how to accurately match diverse local information to universal global knowledge. This research conducts a theoretical study on the use of personalized ontolo- gies to enhance text mining performance. The objective is to understand user information needs by a \bag-of-concepts" rather than \words". The concepts are gathered from a general world knowledge base named the Library of Congress Subject Headings. To return desirable search results, a novel ontology-based mining approach is introduced to discover accurate search intentions and learn personalized ontologies as user profiles. The approach can not only pinpoint users' individual intentions in a rough hierarchical structure, but can also in- terpret their needs by a set of acknowledged concepts. Along with global and local analyses, another solid concept matching approach is carried out to address about the mismatch between local information and world knowledge. Relevance features produced by the Relevance Feature Discovery model, are determined as representatives of local information. These features have been proven as the best alternative for user queries to avoid ambiguity and consistently outperform the features extracted by other filtering models. The two attempt-to-proposed ap- proaches are both evaluated by a scientific evaluation with the standard Reuters Corpus Volume 1 testing set. A comprehensive comparison is made with a num- ber of the state-of-the art baseline models, including TF-IDF, Rocchio, Okapi BM25, the deploying Pattern Taxonomy Model, and an ontology-based model. The gathered results indicate that the top precision can be improved remarkably with the proposed ontology mining approach, where the matching approach is successful and achieves significant improvements in most information filtering measurements. This research contributes to the fields of ontological filtering, user profiling, and knowledge representation. The related outputs are critical when systems are expected to return proper mining results and provide personalized services. The scientific findings have the potential to facilitate the design of advanced preference mining models, where impact on people's daily lives.

A people-to-people matching system using graph mining techniques

A people-to-people matching system (or a match-making system) refers to a system in which users join with the objective of meeting other users with the common need. Some real-world examples of these systems are employer-employee (in job search networks), mentor-student (in university social networks), consume-to-consumer (in marketplaces) and male-female (in an online dating network). The network underlying in these systems consists of two groups of users, and the relationships between users need to be captured for developing an efficient match-making system. Most of the existing studies utilize information either about each of the users in isolation or their interaction separately, and develop recommender systems using the one form of information only. It is imperative to understand the linkages among the users in the network and use them in developing a match-making system. This study utilizes several social network analysis methods such as graph theory, small world phenomenon, centrality analysis, density analysis to gain insight into the entities and their relationships present in this network. This paper also proposes a new type of graph called “attributed bipartite graph”. By using these analyses and the proposed type of graph, an efficient hybrid recommender system is developed which generates recommendation for new users as well as shows improvement in accuracy over the baseline methods.

Industry policy, finance and the AIDC : Australia from the 1950s to the 1970s

This thesis, conceived within a Marxist framework, addresses key conceptual issues in the writing and theorising on industry policy in post second world- war Australia. Broadly, the thesis challenges the way that industry policy on the left of politics (reflected in the social democratic and Keynesian positions) has been constructed as a practical, progressive policy agenda. Specifically, the thesis poses a direct challenge to the primacy of the ‘national’ in interpreting the history of industry policy. The challenge is to the proposition that conflicts between national industry and international finance arose only from the mid 1980s. On the contrary, as will be seen, this is a 1960s issue and any interpretation of the debates and the agendas surrounding industry policy in the 1980s must be predicated on an understanding of how the issue was played out two decades earlier. As was the case in the 1960s, industry policy in the 1980s has been isolated from two key areas of interrogation: the role of the nation state in regulating accumulation and the role of finance in industry policy. In the 1950s and more so in the 1960s and early 1970s there was a reconfiguration of financing internationally but it is one that did not enter into industry policy analysis. The central concern therefore is to simultaneously sketch the historical political economy on industry policy from the 1950s through to the early 1970s in Australia and to analytically and empirically insert the role of finance into that history. In so doing the thesis addresses the economic and social factors that shaped the approach to industry finance in Australia during this critical period. The analysis is supported by a detailed examination of political and industry debates surrounding the proposal for, and institution of, a key national intervention in the form of the Australian Industry Development Corporation (AIDC).

Innovation in the road and bridge industry

This paper reviews innovation activity in a key service industry – road and bridge construction. Based on a large-scale Australian survey and descriptive statistics, the paper finds that there is little difference in innovation levels between different types of industry participants and that innovation is difficult to implement. The survey gathered responses from suppliers, consultants, contracts and clients and compared results across these four industry sectors. The absorptive capacity and relationship capacities of respondents were also investigated. One in five respondents had poor absorptive capacity. Suppliers were found to the most effective learners and were the best adopters of ideas from outside their organisations and consultants were the least effective. Australian construction organisations have relatively good relationship skills because relationship-based contracts are common compared to other countries. Indeed, the survey found that nearly 60% of respondents had experience with such contracts, with clients having more experience than the other three sectors. The results have implications for the measurement of innovation in project-based industries, and the relative roles of clients and suppliers in driving innovation in the construction industry. Further research will examine the extent to which particular governance mechanisms within relationship contracts lead to improved innovation and project performance.

Green skills for the construction industry

The skill shortage issues have long existed in the construction industry in countries like Australia. Couple this with the lead and lag time between market demand and resultant supply has traditionally seen cyclical fluctuation of skills demand within the construction industry. Skills demand and shortages are generally well documented and can even have a level of predictability in Australia given the tendency to have a delayed reaction to global economic downturns. Sustainability issues in the construction industry have attracted growing public awareness. Traditionally driven by ever increasing, if only gradual, mandated minimum requirements, drive towards sustainable developments is now increasingly being created by the client. As this demand increases, accordingly a demand for people with the skills to provide these services should be felt. This research examines the green skill shortage issues within the context of construction industry. Stakeholders from across relevant sectors of the built environment were engaged to ascertain the industry’s utilisation and demand for ‘green skilled’ personnel. These findings will assist stakeholders within the construction industry in negating the effects of a skills shortage in the event of accelerated demand for sustainable construction.