Abstract
Given the increasing popularity and availability of location tracking devices, large quantities of Spatio-Temporal data (ST-data) are available from many different sources. For the ST-data, reflecting the mobile characteristic of the world, it is essential to build a functional system to perform quickly interactive analysis. In this paper, we present an analysis and visualization system, NUPT ST-data Miner, which facilitates users to visualize and analyze ST-data. It (1) provides a flexible and extensible framework based on cloud computing platform, (2) is able to quickly retrieve specified ST-data, (3) integrated multiple functions for the ST-data. To demonstrate its efficiency, we validate our model and system on a real data set of Microsoft Research Asia. The results from extensive experiments demonstrate that NUPT ST-data Miner is an effective system for visually analyzing spatio-temporal data.
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Acknowledgements
This work is supported by the National Natural Science Foundation of P. R. China (No. 41571389, 61472193, 41501431), supported by Key Laboratory of Spatial Data Mining Information Sharing of Ministry of Education, Fuzhou University (No. 2016LSDMIS07), and the NJUPT Natural Science Foundation (No. NY215116). In addition, we are grateful to the anonymous reviewers for their insightful and constructive suggestions.
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Zou, Z., Xiong, J., He, X., Dai, H. (2019). NUPT ST-Data Miner: An Spatio-Temporal Data Analysis and Visualization System. In: Kim, K., Baek, N. (eds) Information Science and Applications 2018. ICISA 2018. Lecture Notes in Electrical Engineering, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-13-1056-0_5
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DOI: https://doi.org/10.1007/978-981-13-1056-0_5
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