A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data
| العنوان: | A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data |
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| المؤلفون: | Natalia Andrienko, Salvatore Rinzivillo, Dino Pedreschi, Mirco Nanni, Gennady Andrienko |
| المصدر: | Advances in Spatial and Temporal Databases ISBN: 9783642029813 SSTD Advances in Spatial and Temporal Databases. 11th International Symposium-SSTD 2009, pp. 432–435, Aalborg, Denmark, 8-10 July 2009 info:cnr-pdr/source/autori:Andrienko G.; Andrienko N.; Rinzivillo S.; Nanni M.; Pedreschi D./congresso_nome:Advances in Spatial and Temporal Databases. 11th International Symposium-SSTD 2009/congresso_luogo:Aalborg, Denmark/congresso_data:8-10 July 2009/anno:2009/pagina_da:432/pagina_a:435/intervallo_pagine:432–435 |
| بيانات النشر: | Springer Berlin Heidelberg, 2009. |
| سنة النشر: | 2009 |
| مصطلحات موضوعية: | User/Machine Systems. Human information processing, Visual analytics, Exploit, Computer science, business.industry, Movement, Classification, computer.software_genre, Trajectories, Cluster, Human interaction, Global Positioning System, Data mining, business, Density based clustering, Classifier (UML), computer, Cluster based |
| الوصف: | In this paper we propose a demo of a Visual Analytics Toolkit to cope with the complexity of analysing a large dataset of moving objects, in a step wise manner. We allow the user to sample a small subset of objects, that can be handled in main memory, and to perform the analysis on this small group by means of a density based clustering algorithm. The GUI is designed in order to exploit and facilitate the human interaction during this phase of the analysis, to select interesting clusters among the candidates. The selected groups are used to build a classifier that can be used to label other objects from the original dataset. The classifier can then be used to efficiently associate all objects in the database to clusters. The tool has been tested using a large set of GPS tracked cars. |
| ردمك: | 978-3-642-02981-3 |
| DOI: | 10.1007/978-3-642-02982-0_34 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3b22a0390e0c9ef3a41f0cc49e37f4b https://doi.org/10.1007/978-3-642-02982-0_34 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....b3b22a0390e0c9ef3a41f0cc49e37f4b |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783642029813 |
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| DOI: | 10.1007/978-3-642-02982-0_34 |