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Titlebook: Information and Communication Technologies in Tourism 2010; Proceedings of the I Ulrike Gretzel,Rob Law,Matthias Fuchs Conference proceedin

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書目名稱Information and Communication Technologies in Tourism 2010
副標(biāo)題Proceedings of the I
編輯Ulrike Gretzel,Rob Law,Matthias Fuchs
視頻videohttp://file.papertrans.cn/466/465836/465836.mp4
圖書封面Titlebook: Information and Communication Technologies in Tourism 2010; Proceedings of the I Ulrike Gretzel,Rob Law,Matthias Fuchs Conference proceedin
描述.The papers in this volume address advances in mobile tourism services, online destination marketing, GPS-based tracking of tourist behaviors, decision support tools, website design and evaluation, online travel distribution, ICT adoption in tourism and hospitality businesses, virtual experiences, online information search, Web 2.0, social media marketing, and the role of ICTs in sustainable tourism development. The volume shows a high diversity in disciplinary approaches and methodologies used to explore the intersection of tourism and technology. Thus, the included papers would be of interest to readers with varying backgrounds..
出版日期Conference proceedings 2010Latest edition
關(guān)鍵詞communication technology; information technology; tourism; travel
版次1
doihttps://doi.org/10.1007/978-3-211-99407-8
copyrightSpringer-Verlag Vienna 2010
The information of publication is updating

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Christina Scholochow,Matthias Fuchs,Wolfram H?pkenries to climate change-related hazards, particularly hydro-meteorological. On the other hand, the concept of sustainable development has changed the decades-long perception of development, and sustainability has become the center point for developmental activities. So, to ensure sustainable developm
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Juho Pesonen,Outi-Maaria Palo-ojancy in different sectors, and enhancing natural carbon absorption or using engineering methods for carbon capture and storage. More and more individuals are intrigued by the idea of utilizing the soil’s ability to absorb carbon to combat the increasing carbon dioxide levels in the atmosphere and the
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Shanshan Qi,Rosanna Leung,Rob Law,Dimitrios Buhalisc differentiation, which causes many difficulties in its accurate simulation and prediction. Therefore, Multi-Layer Perceptron Neural Networks (MLPNN) and Multiple Linear Regression (MLR) are used for predicting the annual rainfall in Sudan. To this aim, the minimum temperature (Tmin), maximum tempe
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Alessandro Inversini,Lorenzo Cantoni,Davide Bolchiniaracteristic Curve (AUC ROC). Overall, the results show that the RF model performed excellently with a 0.977 accuracy, 0.977 precision, 0.995 AUC ROC, 0.977 F-1 score, and 0.977 recall. The LGBM model next showed comparable results in precision and accuracy but with a slight increase in F-1 score an
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