Abstract | ||
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Technological advances in sensing technologies and wireless telecommunication devices enable novel research fields related to the management of trajectory data. As it usually happens in the data management world, the challenge after storing the data is the implementation of appropriate analytics for extracting useful knowledge. However, traditional data warehousing systems and techniques were not designed for analyzing trajectory data. Thus, in this work, we demonstrate a framework that transforms the traditional data cube model into a trajectory warehouse. As a proof-of-concept, we implemented T-WAREHOUSE, a system that incorporates all the required steps for Visual Trajectory Data Warehousing, from trajectory reconstruction and ETL processing to Visual OLAP analysis on mobility data. |
Year | DOI | Venue |
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2010 | 10.1109/ICDE.2010.5447749 | ICDE |
Keywords | Field | DocType |
visual olap analysis,trajectory data management,data warehouses,t-warehouse,visual trajectory data warehousing,etl processing,traditional data cube model,data mining,visualization,information analysis,data warehousing,warehousing,trajectory,energy management,informatics,proof of concept,time measurement,data visualization,knowledge management,data management,data cube,data analysis | Data warehouse,Data mining,Data visualization,Computer science,Visualization,Online analytical processing,Analytics,Data management,Data cube,Database,Trajectory | Conference |
ISSN | ISBN | Citations |
1084-4627 | 978-1-4244-5444-0 | 13 |
PageRank | References | Authors |
0.63 | 6 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luca Leonardi | 1 | 32 | 1.69 |
Gerasimos Marketos | 2 | 166 | 10.46 |
Elias Frentzos | 3 | 399 | 18.65 |
Nikos Giatrakos | 4 | 176 | 14.94 |
Salvatore Orlando | 5 | 1595 | 202.29 |
Nikos Pelekis | 6 | 881 | 59.28 |
Alessandra Raffaetà | 7 | 187 | 16.45 |
Alessandro Roncato | 8 | 320 | 20.21 |
Claudio Silvestri | 9 | 136 | 10.21 |
Yannis Theodoridis | 10 | 3155 | 266.14 |