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Gianluca Bonifazi, Enrico Corradini, Domenico Ursino and Luca Virgili
Electronic Word of Mouth (eWoM) has been largely studied for social platforms, such as Yelp and TripAdvisor, which are highly investigated in the context of digital marketing. However, it can also have interesting applications in other contexts. Therefor...
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Mark S. Fox, Daniel Silver, Thiago Silva and Xinyi Zhang
This paper is part IV of ?towards a model of urban evolution?. It demonstrates how the Toronto Urban Evolution Model (TUEM) can be used to encode city data, illuminate key features, demonstrate how formetic distance can be used to discover how spatial ar...
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Aitak Shaddeli, Farhad Soleimanian Gharehchopogh, Mohammad Masdari and Vahid Solouk
The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures? feeding and orienting behaviors. It comprises powerful operators while maintaining the balance of exploration and efficiency in solving optimization problems. To be used i...
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Aopeng Xu, Zhiyuan Zhang, Xiaqing Ma, Zixiang Zhang and Tao Xu
As a basic method of spatial data operation, spatial keyword query can provide meaningful information to meet user demands by searching spatial textual datasets. How to accurately understand users? intentions and efficiently retrieve results from spatial...
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Daniel Silver, Patrick Adler and Mark S. Fox
This paper seeks to develop the core concepts of a model of urban evolution. It proceeds in four major sections. First, we review prior adumbrations of an evolutionary model in urban theory, noting their potential and their limitations. Second, we turn t...
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Muzamil Hussain Syed, Tran Quoc Bao Huy and Sun-Tae Chung
With the rapid growth of internet data, knowledge graphs (KGs) are considered as efficient form of knowledge representation that captures the semantics of web objects. In recent years, reasoning over KG for various artificial intelligence tasks have rece...
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Rodrigo Smarzaro, Clodoveu A. Davis, Jr. and José Alberto Quintanilha
One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that, usua...
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Yufan Zeng and Jiashan Tang
Graph neural networks (GNNs) have been very successful at solving fraud detection tasks. The GNN-based detection algorithms learn node embeddings by aggregating neighboring information. Recently, CAmouflage-REsistant GNN (CARE-GNN) is proposed, and this ...
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Sedick Baker Effendi, Brink van der Merwe and Wolf-Tilo Balke
Every day large quantities of spatio-temporal data are captured, whether by Web-based companies for social data mining or by other industries for a variety of applications ranging from disaster relief to marine data analysis. Making sense of all this dat...
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Mateusz Piech, Aleksander Smywinski-Pohl, Robert Marcjan and Leszek Siwik
Complementing information about particular points, places, or institutions, i.e., so-called Points of Interest (POIs) can be achieved by matching data from the growing number of geospatial databases; these include Foursquare, OpenStreetMap, Yelp, and Fac...
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