Proceedings of the 29th International Conference on Advances in Geographic Information Systems最新文献_第2页

Air Pollution Hotspot Detection and Source Feature Analysis using Cross-Domain Urban Data 基于跨域城市数据的大气污染热点检测与源特征分析

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484263

Yawen Zhang, M. Hannigan, Q. Lv

引用次数: 1

Multi-Task Synchronous Graph Neural Networks for Traffic Spatial-Temporal Prediction 交通时空预测的多任务同步图神经网络

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483921

He Li, D. Jin, Xuejiao Li, Jianbin Huang, Jaesoo Yoo

引用次数: 4

Fréchet Kernel for Trajectory Data Analysis 用于轨迹数据分析的fr<s:1>核

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483949

Koh Takeuchi, M. Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, K. Yoda, Masakazu Ishihata, T. Maekawa

{"title":"Fréchet Kernel for Trajectory Data Analysis","authors":"Koh Takeuchi, M. Imaizumi, Shunsuke Kanda, Yasuo Tabei, Keisuke Fujii, K. Yoda, Masakazu Ishihata, T. Maekawa","doi":"10.1145/3474717.3483949","DOIUrl":"https://doi.org/10.1145/3474717.3483949","url":null,"abstract":"Trajectory analysis has been a central problem in applications of location tracking systems. Recently, the (discrete) Fréchet distance becomes a popular approach for measuring the similarity of two trajectories because of its high feature extraction capability. Despite its importance, the Fréchet distance has several limitations: (i) sensitive to noise as a trade-off for its high feature extraction capability; and (ii) it cannot be incorporated into machine learning frameworks due to its non-smooth functions. To address these problems, we propose the Fréchet kernel (FRK), which is associated with a smoothed Fréchet distance using a combination of two approximation techniques. FRK can adaptively acquire appropriate extraction capability from trajectories while retaining robustness to noise. Theoretically, we find that FRK has a positive definite property, hence FRK can be incorporated into the kernel method. We also provide an efficient algorithm to calculate FRK. Experimentally, FRK outperforms other methods, including other kernel methods and neural networks, in various noisy real-data classification tasks.","PeriodicalId":340759,"journal":{"name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130777490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

MonoFi

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3486808

Israa Fahmy, Samah Ayman, Hamada Rizk, Moustafa Youssef

引用次数: 11

Most Diverse Near-Shortest Paths 最多样化的近最短路径

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483955

Christian Häcker, Panagiotis Bouros, Theodoros Chondrogiannis, Ernst Althaus

引用次数: 7

SALON: A Universal Stay Point-Based Location Analysis Platform 沙龙:基于住宿点的通用定位分析平台

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483991

Yue Hu, Sijie Ruan, Yuting Ni, Huajun He, Jie Bao, Ruiyuan Li, Yu Zheng

引用次数: 3

Modeling Real Estate Dynamics Using Temporal Encoding 使用时间编码建模房地产动态

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484254

Chen Jiang, Jingjing Li, Wenlu Wang, Wei-Shinn Ku

{"title":"Modeling Real Estate Dynamics Using Temporal Encoding","authors":"Chen Jiang, Jingjing Li, Wenlu Wang, Wei-Shinn Ku","doi":"10.1145/3474717.3484254","DOIUrl":"https://doi.org/10.1145/3474717.3484254","url":null,"abstract":"Deep learning has assisted modern life in various ways. One example is that accurate economic prediction helps people better allocate and distribute their resources. In the U.S., home prices have been accelerating during the COVID-19 pandemic and climbed 13.3% in March 2021 from the previous year. Real estate market prediction is critical for home buyers and investors to make wise decisions. In some circumstances, accurate predictions on home prices are more important than usual in helping decision-makers to reduce financial mistakes. In this paper, we introduce a large-scale real estate-related dataset for the value prediction task. It consists of numerical real estate price history data from Zillow1 and survey data from Census Bureau public dataset. Our goal is to utilize data from different levels to model the real-estate dynamics with temporal and non-temporal data. We propose to embed sequential temporal features using a transformer and combine them with non-temporal features for subsequent prediction tasks, and evaluate using a different number of classes L ϵ {2, 3, 4, 5}. As an example, when L = 2, we have achieved 93.5% accuracy with our proposed model, and when L = 3, our proposed model has achieved 90.1% prediction accuracy. The results suggest that the proposed model overall outperforms all the baseline models.","PeriodicalId":340759,"journal":{"name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133299971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

An Efficient RDF Converter and SPARQL Endpoint for the Complete OpenStreetMap Data 用于完整OpenStreetMap数据的高效RDF转换器和SPARQL端点

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484256

H. Bast, P. Brosi, J. Kalmbach, A. Lehmann

引用次数: 7

A Closer Look: Evaluating Location Privacy Empirically 仔细观察:基于经验评估位置隐私

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484219

Liyue Fan, Ishan Gote

引用次数: 1

LibCity

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483923

Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chao Li, Wayne Xin Zhao

引用次数: 45