82 research outputs found

    A review of data mining techniques for research in online shopping behaviour through frequent navigation paths

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    Knowing how consumers navigate online shopping web sites enables retailers to not only better design their sites for navigation but also place buying recommendations at strategic points and personalise the flow of content. Frequent navigation paths can be derived from browsing histories or clickstreams with sequence-oriented data mining techniques. In this working paper, we highlight, with examples, the relevance of frequent navigation paths to online shopping behaviour research and review some relevant data mining techniques

    Data analytics 2016: proceedings of the fifth international conference on data analytics

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    Information and Communication Technologies in Tourism 2022

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    This open access book presents the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 29th Annual International eTourism Conference, which assembles the latest research presented at the ENTER2022 conference, which will be held on January 11–14, 2022. The book provides an extensive overview of how information and communication technologies can be used to develop tourism and hospitality. It covers the latest research on various topics within the field, including augmented and virtual reality, website development, social media use, e-learning, big data, analytics, and recommendation systems. The readers will gain insights and ideas on how information and communication technologies can be used in tourism and hospitality. Academics working in the eTourism field, as well as students and practitioners, will find up-to-date information on the status of research

    Information and Communication Technologies in Tourism 2022

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    This open access book presents the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 29th Annual International eTourism Conference, which assembles the latest research presented at the ENTER2022 conference, which will be held on January 11–14, 2022. The book provides an extensive overview of how information and communication technologies can be used to develop tourism and hospitality. It covers the latest research on various topics within the field, including augmented and virtual reality, website development, social media use, e-learning, big data, analytics, and recommendation systems. The readers will gain insights and ideas on how information and communication technologies can be used in tourism and hospitality. Academics working in the eTourism field, as well as students and practitioners, will find up-to-date information on the status of research

    Cartoons as interdiscourse : a quali-quantitative analysis of social representations based on collective imagination in cartoons produced after the Charlie Hebdo attack

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    The attacks against Charlie Hebdo in Paris at the beginning of the year 2015 urged many cartoonists – most professionals but some laymen as well – to create cartoons as a reaction to this tragedy. The main goal of this article is to show how traumatic events like this one can converge in a rather limited set of metaphors, ranging from easily recognizable topoi to rather vague interdiscourses that circulate in contemporary societies. To do so, we analyzed 450 cartoons that were produced as a reaction to the Charlie Hebdo attacks, and took a quali-quantitative approach that draws both on discourse analysis and semiotics. In this paper, we identified eight main themes and we analyzed the five ones which are anchored in collective imagination (the pen against the sword, the journalist as a modern hero, etc.). Then, we studied the cartoons at figurative, narrative and thematic levels thanks to Greimas’ model of the semiotic square. This paper shows the ways in which these cartoons build upon a memory-based network of events from the recent past (particularly 9/11), and more generally on a collective imagination which can be linked to Western values.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

    Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model

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    Predicting land cover change transition in Ho Municipality of Volta Region, Ghana.

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    A Thesis Submitted to the Faculty of Science, University of the Witwatersrand, in fulfillment of the Requirements for the degree of Doctor of Philosophy. Johannesburg, 2013Deforestation is a growing environmental concern in tropical areas of the world where it is believed that the increase in human population and associated land use practices are the key drivers of this land cover change transition. This research tests these hypotheses in the Ho Municipality of Ghana and aims to predict future land cover change by assessing remote sensing images and considering the complex interrelationships and synergies of multiple driving forces. The study specifically examines how multiple driving forces of land cover change transition have contributed to the accelerating pace of deforestation in the last 25 years based on observed trends in land use and remotely sensed land cover change data. The study looks at the future prospects for Ghana’s forests. The field study was carried out in four settlements of the Ho Municipality namely Wumenu, Agbokofe, Abutia Kloe and Takla. The data collection was done using structured questionnaires administered to 376 households to investigate their opinions regarding the driving forces of deforestation in the area. The analysis of questionnaire data involved the use of descriptive statistics and factor analysis using the Statistical Package for Social Scientists (SPSS) software. Satellite images comprising, Landsat MSS 1975, Landsat TM 1991 and Landsat ETM+ 2001 were classified using the maximum likelihood algorithm supervised classification to determine the extent and nature of vegetation cover change and to assess the potential of using a Markov model to predict the future state of forest cover. The research concludes that the municipality lost forest cover from 1975 to 2001 based on satellite and questionnaire data analysis which suggests that the following are the key underlying drivers of deforestation: demographic pressure, poverty, institutional factors, policies, technology and attitudes. Proximate drivers of deforestation are agricultural expansion, illegal logging and wood energy exploitation. The Markov models showed that in the next 25 years various probabilities of change are possible, such as no change in forest cover, forest cover loss and some probabilities of increase in forest cover. These predictions illustrate the need to study the complex driving forces of change to interpret models that are solely based on past land use change transition. Based on the results of the household surveys, current drivers are unlikely to change. Land use planners should thus be aware that deforestation in Ghana is most likely going to continue. On the basis of these findings the following recommendations have been made. There is a need to intensify tree planting activities in the municipality to increase forest cover. Planting of fast maturing trees for woodlots will reduce pressure on the forest for wood energy. Public education on the advantages of family planning should be undertaken by the Municipal Assembly and NGOs working in the area to reduce population pressure on forests. Poverty reduction strategies should focus on alternative livelihood opportunities to divert attention from forest goods while also increasing the protection of remaining forests. Lastly, community participative approaches to forest management could mitigate both underlying and proximate causes of deforestation

    Information and Communication Technologies in Tourism 2021

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    This open access book is the proceedings of the International Federation for IT and Travel & Tourism (IFITT)’s 28th Annual International eTourism Conference, which assembles the latest research presented at the ENTER21@yourplace virtual conference January 19–22, 2021. This book advances the current knowledge base of information and communication technologies and tourism in the areas of social media and sharing economy, technology including AI-driven technologies, research related to destination management and innovations, COVID-19 repercussions, and others. Readers will find a wealth of state-of-the-art insights, ideas, and case studies on how information and communication technologies can be applied in travel and tourism as we encounter new opportunities and challenges in an unpredictable world

    Mangroves degradation: a local perspective on its awareness

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    Mangroves in Malaysia reside on the coastlines, and the largest areas of mangrove are in the Northern Sabah. Over the past decades, mangrove species have been reported to be disappearing from the globe. It is due to several natural processes that have been inserted to fill the needs of the increased population. These include illegal logging, agriculture activities and urbanisation. In this regards, awareness of the local residents about the problem of mangrove depletion is important to inhibit the problem to prolong further.Therefore, this research was conducted to determine the degree of awareness of local residents on the importance of mangroves in managing environmental quality. Consequently, a questionnaire survey was conducted on 103 respondents to examine their awareness on the subject of mangrove degradation.The respondents were selected randomly among local residents of Kuala Selangor district.It is found that only twenty percent of the total number of respondents are totallyaware of the issue and acted upon itÍľ either taking part in the endeavours made by the government as well as those with the nongovernmental bodies or practicing mangroves replanting at their backyard

    RFID Technology in Intelligent Tracking Systems in Construction Waste Logistics Using Optimisation Techniques

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    Construction waste disposal is an urgent issue for protecting our environment. This paper proposes a waste management system and illustrates the work process using plasterboard waste as an example, which creates a hazardous gas when land filled with household waste, and for which the recycling rate is less than 10% in the UK. The proposed system integrates RFID technology, Rule-Based Reasoning, Ant Colony optimization and knowledge technology for auditing and tracking plasterboard waste, guiding the operation staff, arranging vehicles, schedule planning, and also provides evidence to verify its disposal. It h relies on RFID equipment for collecting logistical data and uses digital imaging equipment to give further evidence; the reasoning core in the third layer is responsible for generating schedules and route plans and guidance, and the last layer delivers the result to inform users. The paper firstly introduces the current plasterboard disposal situation and addresses the logistical problem that is now the main barrier to a higher recycling rate, followed by discussion of the proposed system in terms of both system level structure and process structure. And finally, an example scenario will be given to illustrate the system’s utilization
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