Text mining in negative relevance feedback

It is a big challenge to clearly identify the boundary between positive and negative streams. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on RCV1, and substantial experiments show that the proposed approach achieves encouraging performance.

Development of a data mining-based analysis framework for multi-attribute construction project information

Data mining techniques extract repeated and useful patterns from a large data set that in turn are utilized to predict the outcome of future events. The main purpose of the research presented in this paper is to investigate data mining strategies and develop an efficient framework for multi-attribute project information analysis to predict the performance of construction projects. The research team first reviewed existing data mining algorithms, applied them to systematically analyze a large project data set collected by the survey, and finally proposed a data-mining-based decision support framework for project performance prediction. To evaluate the potential of the framework, a case study was conducted using data collected from 139 capital projects and analyzed the relationship between use of information technology and project cost performance. The study results showed that the proposed framework has potential to promote fast, easy to use, interpretable, and accurate project data analysis.

Putting the cart before the horse? Driving student engagement through first year career identity development in a large multidisciplinary creative industries cohort

It is now widely accepted that first year students benefit from pedagogies which mediate and support their transitions to university, and assist them to develop an adaptive student identity. We present an initiative which takes an alternative and additional approach to this way of viewing the first year experience. Based on research into creative industries career trajectories, this initiative focuses on the establishment of nascent career identity and professional self-concept amongst 600 first semester Bachelor of Creative Industries (BCI) students at QUT. The BCI is offered as a three year undergraduate program involving self-selection of majors, minors and electives, and also as a four year double degree with Business and Law faculties. Students engage in a scaffolded process of initial career visioning and reflective course planning, based on their own industry and careers research, guided by industry-active academic and careers staff, and drawing upon the experiences of final year students.

Working in the Australian suburbs: Creative industries workers’ adaptation of traditional work spaces

The cultural and creative industries contribution to the economic and social sustainability of cities is a well acknowledged phenomenon which has accelerated in the era of urban renewal since the late twentieth century. The second-tier city of Brisbane, Australia was for many years considered a cultural backwater in the national context, yet its recent urban development within a short period of time has produced a city that now has all the hallmarks of a ‘creative city’. Brisbane’s transformation has been shaped by urban and cultural policies that are largely focussed around its inner-metropolitan localities, producing a growth in cultural infrastructure and the aestheticisation of inner-city precincts. However, like most Australian cities, the majority of Brisbane’s population live, and increasingly work in the suburbs. This article is based on a large research project that shows that creative industries workers are well represented across suburban localities. The article examines the policy and planning implications for creative industries located in Australian outer suburbs and the communities in which they are located.

Granule mining and its application for network traffic characterization

Decision table and decision rules play an important role in rough set based data analysis, which compress databases into granules and describe the associations between granules. Granule mining was also proposed to interpret decision rules in terms of association rules and multi-tier structure. In this paper, we further extend granule mining to describe the relationships between granules not only by traditional support and confidence, but by diversity and condition diversity as well. Diversity measures how diverse of a granule associated with the other ganules, it provides a kind of novel knowledge in databases. Some experiments are conducted to test the proposed new concepts for describing the characteristics of a real network traffic data collection. The results show that the proposed concepts are promising.

Sustainable Road Management in Texas : network-level flexible pavement structural condition analysis using data mining techniques

The research team recognized the value of network-level Falling Weight Deflectometer (FWD) testing to evaluate the structural condition trends of flexible pavements. However, practical limitations due to the cost of testing, traffic control and safety concerns and the ability to test a large network may discourage some agencies from conducting the network-level FWD testing. For this reason, the surrogate measure of the Structural Condition Index (SCI) is suggested for use. The main purpose of the research presented in this paper is to investigate data mining strategies and to develop a prediction method of the structural condition trends for network-level applications which does not require FWD testing. The research team first evaluated the existing and historical pavement condition, distress, ride, traffic and other data attributes in the Texas Department of Transportation (TxDOT) Pavement Maintenance Information System (PMIS), applied data mining strategies to the data, discovered useful patterns and knowledge for SCI value prediction, and finally provided a reasonable measure of pavement structural condition which is correlated to the SCI. To evaluate the performance of the developed prediction approach, a case study was conducted using the SCI data calculated from the FWD data collected on flexible pavements over a 5-year period (2005 – 09) from 354 PMIS sections representing 37 pavement sections on the Texas highway system. The preliminary study results showed that the proposed approach can be used as a supportive pavement structural index in the event when FWD deflection data is not available and help pavement managers identify the timing and appropriate treatment level of preventive maintenance activities.

Creative industries and innovation in a knowledge economy

The cultural and creative industries contribute to the knowledge economy by their role in reproducing cultural knowledge and through provision of entertainment, experience and leisure goods with cultural content, for which they are widely acknowledged as suffering serious market failure problems (Baumol and Bowen, 1966; Throsby and Withers, 1979). But they also contribute to the innovation process, an aspect that has only recently been appreciated. Specifically, the creative industries are a driver of the knowledge economy by their contribution to the innovation process on the demand side of consumer uptake of new ideas and by their facilitation of consumer-producer interaction. The creative industries are, in this respect, a legitimate part of the innovation system of a knowledge economy.

Risk management and injury prevention : competencies, behaviours, and attitudes to safety in the construction industry

Work in the Australian construction industry is fraught with risk and the potential for serious harm. The industry is consistently placed within the three most hazardous industries to work along with other industries such as mining and transport (National Occupational Health and Safety Commission, 2003). In the 2001 to 2002 period, construction work killed 39 people and injured 13,250 more. Hence, more effort is required to reduce the injury rate and maximise the value of the rehabilitation/back-to-work process.

The Creative Industries, Culture and Policy

The rise of creative industries requires new thinking in communication, media and cultural studies, media and cultural policy, and the arts and information sectors. The Creative Industries, Culture and Policy sets the agenda for these debates, providing a richer understanding of the dynamics of cultural markets, creative labor, finance and risk, and how culture is distributed, marketed and creatively reused through new media technologies. This book: develops a global perspective on the creative industries and creative economy draws insights from media and cultural studies, innovation economics, cultural policy studies, and economic and cultural geography explores what it means for policy-makers when culture and creativity move from the margins to the center of economic dynamics makes extensive use of case studies in ways that are relevant not only to researchers and policy-makers, but also to the generation of students who will increasingly be establishing a ‘portfolio career’ in the creative industries. International in coverage, The Creative Industries traces the historical and contemporary ideas that make the cultural economy more relevant that it has ever been. It is essential reading for students and academics in media, communication and cultural studies. Table of Contents - Introduction - Origins of Creative Industries Policy - International Models of Creative Industries Policy - From Culture Industries to Cultural Economy - Products, Services, Production and Creative Work - Consumption, Markets, Technology and Cultural Trade - Globalization, Cities and Creative Spaces - Creative Industries and Public Policy - Conclusion

Creative industries in China : art, design and media

Creative industries in China provides a fresh account of China’s emerging commercial cultural sector. The author shows how developments in Chinese art, design and media industries are reflected in policy, in market activity, and grassroots participation. Never has the attraction of being a media producer, an artist, or a designer in China been so enticing. National and regional governments offer financial incentives; consumption of cultural goods and services have increased; creative workers from Europe, North America and Asia are moving to Chinese cities; culture is increasingly positioned as a pillar industry. But what does this mean for our understanding of Chinese society? Can culture be industrialised following the low-cost model of China’s manufacturing economy. Is the national government really committed to social liberalisation? This engaging book is a valuable resource for students and scholars interested in social change in China. It draws on leading Chinese scholarship together with insights from global media studies, economic geography and cultural studies.