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Xiaojing Wu and Donghai Zheng
Unprecedented amounts of spatio-temporal data instigates an urgent need for patterns exploration in it. Clustering analysis is useful in extracting patterns from big data by grouping similar data elements into clusters. Compared with one-way clustering a...
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Ruien Tang, Guolin Hou and Rui Du
Catering and urban elements have a strong spatial association. The spatial clustering and dispersal patterns of catering can effectively influence cities? economic and socio-spatial reconfiguration. This research first introduced the concept of the ARTR ...
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Yuefeng Cen, Mingxing Luo, Gang Cen, Cheng Zhao and Zhigang Cheng
It is meaningful to analyze the market correlations for stock selection in the field of financial investment. Since it is difficult for existing deep clustering methods to mine the complex and nonlinear features contained in financial time series, in ord...
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Marco Fisichella and Andrea Ceroni
A majority of current work in events extraction assumes the static nature of relationships in constant expertise knowledge bases. However, in collaborative environments, such as Wikipedia, information and systems are extraordinarily dynamic over time. In...
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Mahdi Hashemi
This study offers a new perspective in analyzing 311 service requests (SRs) across the country by representing cities based on the types of their SRs. This not only uncovers temporal patterns of SRs in each city over the years but also detects cities wit...
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Dayu Cheng, Guo Yue, Tao Pei and Mingbo Wu
Indoor positioning data reflects human mobility in indoor spaces. Revealing patterns of indoor trajectories may help us understand human indoor mobility. Clustering methods, which are based on the measurement of similarity between trajectories, are impor...
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Chao Jiang, Lin Liu, Xiaoxing Qin, Suhong Zhou and Kai Liu
The importance of combining spatial and temporal aspects has been increasingly recognized over recent years, yet pertinent pattern analysis methods in place-based crime research still need further development to explicitly indicate spatial-temporal local...
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With the emergence of the smart grid environment, smart meters are considered one of the main key enablers for developing energy management solutions in residential home premises. Power consumption in the residential sector is affected by the behavior of...
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Sarah Osama, Marco Alfonse and Abdel-Badeeh M. Salem
With the emergence of the smart grid environment, smart meters are considered one of the main key enablers for developing energy management solutions in residential home premises. Power consumption in the residential sector is affected by the behavior of...
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Victor Malagon Santos, Ivan D. Haigh and Thomas Wahl
Densely populated coastal regions are vulnerable to extreme wave events, which can cause loss of life and considerable damage to coastal infrastructure and ecological assets. Here, an event-based analysis approach, across multiple sites, has been used to...
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Victor Malagon Santos, Ivan D. Haigh and Thomas Wahl
Densely populated coastal regions are vulnerable to extreme wave events, which can cause loss of life and considerable damage to coastal infrastructure and ecological assets. Here, an event-based analysis approach, across multiple sites, has been used to...
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Victor Malagon Santos, Ivan D. Haigh and Thomas Wahl
Densely populated coastal regions are vulnerable to extreme wave events, which can cause loss of life and considerable damage to coastal infrastructure and ecological assets. Here, an event-based analysis approach, across multiple sites, has been used to...
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Jiahao Li, Weiwei Song, Jianglong Chen, Qunlan Wei and Jinxia Wang
Yunnan Province, residing in the eastern segment of the Qinghai?Tibet Plateau and the western part of the Yunnan?Guizhou Plateau, faces significant challenges due to its intricate geological structures and frequent geohazards. These pose monumental risks...
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Chunchun Hu, Qin Liang, Nianxue Luo and Shuixiang Lu
Analysis of the spatiotemporal distribution of online public opinion topics can help understand the hotspots of public concern. The topic model is employed widely in public opinion topic clustering for social media data. In order to handle topic-clusteri...
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Ismail Mohsine, Ilias Kacimi, Shiny Abraham, Vincent Valles, Laurent Barbiero, Fabrice Dassonville, Tarik Bahaj, Nadia Kassou, Abdessamad Touiouine, Meryem Jabrane, Meryem Touzani, Badr El Mahrad and Tarik Bouramtane
Defining homogeneous units to optimize the monitoring and management of groundwater is a key challenge for organizations responsible for the protection of water for human consumption. However, the number of groundwater bodies (GWBs) is too large for targ...
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Kelly Grassi, Émilie Poisson-Caillault, André Bigand and Alain Lefebvre
In the framework of ecological or environmental assessments and management, detection, characterization and forecasting of the dynamics of environmental states are of paramount importance. These states should reflect general patterns of change, recurrent...
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Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas and Athanasios Tsakalidis
The need to store massive volumes of spatio-temporal data has become a difficult task as GPS capabilities and wireless communication technologies have become prevalent to modern mobile devices. As a result, massive trajectory data are produced, incurring...
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Jian Dong, Bin Chen, Lingnan He, Chuan Ai, Fang Zhang, Danhuai Guo and Xiaogang Qiu
With the advantages of convenient access and free parking, urban dockless shared bikes are favored by the public. However, the irregular flow of dockless shared bikes poses a challenge for the research of flow pattern. In this paper, the flow characteris...
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Irene Erlyn Wina Rachmawan, Ali Ridho Barakbah, Tri Harsono
Pág. 179 - 201
Deforestation is one of the crucial issues in Indonesia. In 2012, deforestation rate in Indonesia reached 0.84 million hectares, exceeding Brazil. According to the 2009 Guinness World Records, Indonesia's deforestation rate was 1.8 million hectares per y...
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Irene Erlyn Wina Rachmawan, Ali Ridho Barakbah, Tri Harsono
Pág. 133 - 152
Deforestration is one of the crucial issues in Indonesia because now Indonesia has world's highest deforestation rate. In other hand, multispectral image delivers a great source of data for studying spatial and temporal changeability of the environmental...
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