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Volumn 18, Issue 2, 2014, Pages 273-312

A general framework for trajectory data warehousing and visual OLAP

Author keywords

Distinct count problem; Spatio temporal data warehouses; Visual analytics

Indexed keywords

AGGREGATES; ROADS AND STREETS; TRAJECTORIES;

EID: 84898666901     PISSN: 13846175     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10707-013-0181-3     Document Type: Article
Times cited : (49)

References (55)
  • 1
    • 0021466185 scopus 로고
    • A general model of action and time
    • Allen JF (1984) A general model of action and time. Artif Intell 23: 123-154.
    • (1984) Artif Intell , vol.23 , pp. 123-154
    • Allen, J.F.1
  • 2
    • 72849130991 scopus 로고    scopus 로고
    • Spatio-temporal aggregation for visual analysis of movements
    • IEEE
    • Andrienko G, Andrienko N (2008) Spatio-temporal aggregation for visual analysis of movements. In: Proceedings of VAST. IEEE. pp 51-58.
    • (2008) Proceedings of VAST , pp. 51-58
    • Andrienko, G.1    Andrienko, N.2
  • 3
    • 77953859972 scopus 로고    scopus 로고
    • A general framework for using aggregation in visual exploration of movement data
    • Andrienko G, Andrienko N (2010) A general framework for using aggregation in visual exploration of movement data. Cartogr J 47(1): 22-40.
    • (2010) Cartogr J , vol.47 , Issue.1 , pp. 22-40
    • Andrienko, G.1    Andrienko, N.2
  • 4
    • 49249100905 scopus 로고    scopus 로고
    • Visual analytics tools for analysis of movement data
    • Andrienko G, Andrienko N, Wrobel S (2007) Visual analytics tools for analysis of movement data. ACM SIGKDD Explor 9(2): 28-46.
    • (2007) ACM SIGKDD Explor , vol.9 , Issue.2 , pp. 28-46
    • Andrienko, G.1    Andrienko, N.2    Wrobel, S.3
  • 5
    • 78650174162 scopus 로고    scopus 로고
    • Spatial generalization and aggregation of massive movement data
    • Andrienko N, Andrienko G (2011) Spatial generalization and aggregation of massive movement data. IEEE Trans Vis Comput Graph 17(2): 205-219.
    • (2011) IEEE Trans Vis Comput Graph , vol.17 , Issue.2 , pp. 205-219
    • Andrienko, N.1    Andrienko, G.2
  • 6
    • 84876693329 scopus 로고    scopus 로고
    • A visual analytics framework for spatio-temporal analysis and modelling
    • Andrienko N, Andrienko G (2013) A visual analytics framework for spatio-temporal analysis and modelling. Data Min Knowl Disc 27(1): 55-83.
    • (2013) Data Min Knowl Disc , vol.27 , Issue.1 , pp. 55-83
    • Andrienko, N.1    Andrienko, G.2
  • 7
    • 84879382854 scopus 로고    scopus 로고
    • Visual analytics of movement: an overview of methods, tools and procedures
    • Andrienko N, Andrienko G (2013) Visual analytics of movement: an overview of methods, tools and procedures. Inf Vis 12(1): 3-24.
    • (2013) Inf Vis , vol.12 , Issue.1 , pp. 3-24
    • Andrienko, N.1    Andrienko, G.2
  • 8
    • 79953080718 scopus 로고    scopus 로고
    • When spatial analysis meets OLAP: multidimensional model and operators
    • Bimonte S, Miquel M (2010) When spatial analysis meets OLAP: multidimensional model and operators. IJDWM 6(4): 33-60.
    • (2010) Ijdwm , vol.6 , Issue.4 , pp. 33-60
    • Bimonte, S.1    Miquel, M.2
  • 10
    • 1542288411 scopus 로고    scopus 로고
    • An exploratory data analysis (EDA) of the paths of moving animals
    • Brillinger D, Preisler H, Ager A, Kie K (2004) An exploratory data analysis (EDA) of the paths of moving animals. J Stat Plan Infer 122(2): 43-63.
    • (2004) J Stat Plan Infer , vol.122 , Issue.2 , pp. 43-63
    • Brillinger, D.1    Preisler, H.2    Ager, A.3    Kie, K.4
  • 11
    • 33745324689 scopus 로고    scopus 로고
    • Spatio-temporal data reduction with deterministic error bounds
    • Cao H, Wolfson O, Trajcevski G (2006) Spatio-temporal data reduction with deterministic error bounds. VLDB J 15(3): 211-228.
    • (2006) VLDB J , vol.15 , Issue.3 , pp. 211-228
    • Cao, H.1    Wolfson, O.2    Trajcevski, G.3
  • 12
    • 77952758709 scopus 로고    scopus 로고
    • TrajStore: an adaptive storage system for very large trajectory data sets
    • Cudré-Mauroux P, Wu E, Madden S (2010) TrajStore: an adaptive storage system for very large trajectory data sets. In: Proceedings of ICDE, pp 109-120.
    • (2010) Proceedings of ICDE , pp. 109-120
    • Cudré-Mauroux, P.1    Wu, E.2    Madden, S.3
  • 13
    • 0042564503 scopus 로고    scopus 로고
    • Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications
    • Dykes JA, Mountain DM (2003) Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications. Comput Stat Data Anal 43(4): 581-603.
    • (2003) Comput Stat Data Anal , vol.43 , Issue.4 , pp. 581-603
    • Dykes, J.A.1    Mountain, D.M.2
  • 14
    • 0028315643 scopus 로고
    • Topological relations between regions with holes
    • Egenhofer MJ (1994) Topological relations between regions with holes. Int J GIS 8: 129-142.
    • (1994) Int J GIS , vol.8 , pp. 129-142
    • Egenhofer, M.J.1
  • 15
    • 0009181575 scopus 로고    scopus 로고
    • Visualizing multi-dimensional data
    • Eick SG (2000) Visualizing multi-dimensional data. SIGGRAPH Comput Graph 34: 61-67.
    • (2000) SIGGRAPH Comput Graph , vol.34 , pp. 61-67
    • Eick, S.G.1
  • 16
    • 0343384346 scopus 로고    scopus 로고
    • Spatio-temporal data types: an approach to modeling and querying moving objects in databases
    • Erwig M, Güting RH, Schneider M, Vazirgiannis M (1999) Spatio-temporal data types: an approach to modeling and querying moving objects in databases. GeoInformatica 3(3): 269-296.
    • (1999) GeoInformatica , vol.3 , Issue.3 , pp. 269-296
    • Erwig, M.1    Güting, R.H.2    Schneider, M.3    Vazirgiannis, M.4
  • 20
    • 0006822834 scopus 로고    scopus 로고
    • The dimensional fact model: a conceptual model for data warehouses
    • Golfarelli M, Maio D, Rizzi S (1998) The dimensional fact model: a conceptual model for data warehouses. Int J Coop Inf Syst 7(2-3): 215-247.
    • (1998) Int J Coop Inf Syst , vol.7 , Issue.2-3 , pp. 215-247
    • Golfarelli, M.1    Maio, D.2    Rizzi, S.3
  • 21
    • 67349202765 scopus 로고    scopus 로고
    • Spatial aggregation: data model and implementation
    • Gómez LI, Haesevoets S, Kuijpers B, Vaisman AA (2009) Spatial aggregation: data model and implementation. Inf Syst 34(6): 551-576.
    • (2009) Inf Syst , vol.34 , Issue.6 , pp. 551-576
    • Gómez, L.I.1    Haesevoets, S.2    Kuijpers, B.3    Vaisman, A.A.4
  • 22
    • 79956333922 scopus 로고    scopus 로고
    • A data model and query language for spatio-temporal decision support
    • Gómez LI, Kuijpers B, Vaisman AA (2011) A data model and query language for spatio-temporal decision support. GeoInformatica 15(3): 455-496.
    • (2011) GeoInformatica , vol.15 , Issue.3 , pp. 455-496
    • Gómez, L.I.1    Kuijpers, B.2    Vaisman, A.A.3
  • 24
    • 34347270945 scopus 로고    scopus 로고
    • Visual analytics of spatial interaction patterns for pandemic decision support
    • Guo D (2007) Visual analytics of spatial interaction patterns for pandemic decision support. Int J Geograph Inf Sci 21: 859-877.
    • (2007) Int J Geograph Inf Sci , vol.21 , pp. 859-877
    • Guo, D.1
  • 25
    • 33745326935 scopus 로고    scopus 로고
    • Modeling and querying moving objects in networks
    • Güting RH, de Almeida VT, Ding Z (2006) Modeling and querying moving objects in networks. VLDB J 15(2): 165-190.
    • (2006) VLDB J , vol.15 , Issue.2 , pp. 165-190
    • Güting, R.H.1    de Almeida, V.T.2    Ding, Z.3
  • 26
    • 80051786454 scopus 로고    scopus 로고
    • SECONDO: a platform for moving objects database research and for publishing and integrating research implementations
    • Güting RH, Behr T, Düntgen C (2010) SECONDO: a platform for moving objects database research and for publishing and integrating research implementations. IEEE Data Eng Bull 33(2): 56-63.
    • (2010) IEEE Data Eng Bull , vol.33 , Issue.2 , pp. 56-63
    • Güting, R.H.1    Behr, T.2    Düntgen, C.3
  • 28
    • 84958957229 scopus 로고    scopus 로고
    • Selective materialization: an efficient method for spatial data cube construction
    • Han J, Stefanovic N, Kopersky K (1998) Selective materialization: an efficient method for spatial data cube construction. In: Proceedings of PAKDD, pp 144-158.
    • (1998) Proceedings of PAKDD , pp. 144-158
    • Han, J.1    Stefanovic, N.2    Kopersky, K.3
  • 29
    • 0942268248 scopus 로고    scopus 로고
    • Multidimensional data modeling for location-based services
    • Jensen CS, Kligys A, Pedersen TB, Timko I (2004) Multidimensional data modeling for location-based services. VLDB J 13(1): 1-21.
    • (2004) VLDB J , vol.13 , Issue.1 , pp. 1-21
    • Jensen, C.S.1    Kligys, A.2    Pedersen, T.B.3    Timko, I.4
  • 30
    • 70350400230 scopus 로고    scopus 로고
    • Indexing the trajectories of moving objects in symbolic indoor space
    • Jensen CS, Lu H, Yang B (2009) Indexing the trajectories of moving objects in symbolic indoor space. In: Proceedings of SSTD, pp 208-227.
    • (2009) Proceedings of SSTD , pp. 208-227
    • Jensen, C.S.1    Lu, H.2    Yang, B.3
  • 33
    • 80053990581 scopus 로고    scopus 로고
    • MOIR/MT: monitoring large-scale road network traffic in real-time
    • Liu K, Deng K, Ding Z, Li M, Zhou X (2009) MOIR/MT: monitoring large-scale road network traffic in real-time. PVLDB 2(2): 1538-1541.
    • (2009) Pvldb , vol.2 , Issue.2 , pp. 1538-1541
    • Liu, K.1    Deng, K.2    Ding, Z.3    Li, M.4    Zhou, X.5
  • 34
    • 19544377991 scopus 로고    scopus 로고
    • Representing spatiality in a conceptual multidimensional model
    • Malinowski E, Zimányi E (2004) Representing spatiality in a conceptual multidimensional model. In: Proceedings of GIS, pp 12-22.
    • (2004) Proceedings of GIS , pp. 12-22
    • Malinowski, E.1    Zimányi, E.2
  • 35
    • 34848890253 scopus 로고    scopus 로고
    • Logical representation of a conceptual model for spatial data warehouses
    • Malinowski E, Zimányi E (2007) Logical representation of a conceptual model for spatial data warehouses. GeoInformatica 11(4): 431-457.
    • (2007) GeoInformatica , vol.11 , Issue.4 , pp. 431-457
    • Malinowski, E.1    Zimányi, E.2
  • 40
    • 84944058501 scopus 로고    scopus 로고
    • Pre-aggregation in spatial data warehouses
    • Pedersen T, Tryfona N (2001) Pre-aggregation in spatial data warehouses. In: Proceedings of SSTD, LNCS, vol 2121, pp 460-480.
    • (2001) Proceedings of SSTD, LNCS , vol.2121 , pp. 460-480
    • Pedersen, T.1    Tryfona, N.2
  • 41
    • 33750907104 scopus 로고    scopus 로고
    • Boosting location-based services with a moving object database engine
    • Pelekis N, Theodoridis Y (2006) Boosting location-based services with a moving object database engine. In: Proceedings of MobiDE, pp 3-10.
    • (2006) Proceedings of MobiDE , pp. 3-10
    • Pelekis, N.1    Theodoridis, Y.2
  • 42
    • 17844380258 scopus 로고    scopus 로고
    • Trajectory indexing using movement constraints
    • Pfoser D, Jensen CS (2005) Trajectory indexing using movement constraints. GeoInformatica 9(2): 93-115.
    • (2005) GeoInformatica , vol.9 , Issue.2 , pp. 93-115
    • Pfoser, D.1    Jensen, C.S.2
  • 45
    • 84856503489 scopus 로고    scopus 로고
    • Exploring spatiotemporal patterns by integrating visual analytics with a moving objects database system
    • Sakr M, Andrienko G, Behr T, Andrienko N, Güting RH, Hurter C (2011) Exploring spatiotemporal patterns by integrating visual analytics with a moving objects database system. In: Proceedings of GIS, pp 505-508.
    • (2011) Proceedings of GIS , pp. 505-508
    • Sakr, M.1    Andrienko, G.2    Behr, T.3    Andrienko, N.4    Güting, R.H.5    Hurter, C.6
  • 46
    • 79956327976 scopus 로고    scopus 로고
    • Spatiotemporal pattern queries
    • Sakr MA, Güting RH (2011) Spatiotemporal pattern queries. GeoInformatica 15(3): 497-540.
    • (2011) GeoInformatica , vol.15 , Issue.3 , pp. 497-540
    • Sakr, M.A.1    Güting, R.H.2
  • 47
  • 48
    • 0036265294 scopus 로고    scopus 로고
    • Polaris: A system for query, analysis, and visualization of multidimensional relational databases
    • Stolte C, Tang D, Hanrahan P (2002) Polaris: A system for query, analysis, and visualization of multidimensional relational databases. IEEE Trans Vis Comput Graph 8: 52-65.
    • (2002) IEEE Trans Vis Comput Graph , vol.8 , pp. 52-65
    • Stolte, C.1    Tang, D.2    Hanrahan, P.3
  • 49
    • 0036811143 scopus 로고    scopus 로고
    • Achieving k-anonymity privacy protection using generalization and suppression
    • Sweeney L (2002) Achieving k-anonymity privacy protection using generalization and suppression. Int J Uncertain Fuzz Knowl-Based Syst 10: 571-588.
    • (2002) Int J Uncertain Fuzz Knowl-Based Syst , vol.10 , pp. 571-588
    • Sweeney, L.1
  • 51
    • 13844299248 scopus 로고    scopus 로고
    • Historical spatio-temporal aggregation
    • Tao Y, Papadias D (2005) Historical spatio-temporal aggregation. ACM TOIS 23: 61-102.
    • (2005) ACM TOIS , vol.23 , pp. 61-102
    • Tao, Y.1    Papadias, D.2
  • 52
    • 19544371210 scopus 로고    scopus 로고
    • Capturing complex multidimensional data in location-based data warehouses
    • Timko I, Pedersen TB (2004) Capturing complex multidimensional data in location-based data warehouses. In: Proceedings of GIS, pp 147-156.
    • (2004) Proceedings of GIS , pp. 147-156
    • Timko, I.1    Pedersen, T.B.2
  • 53
    • 84898618854 scopus 로고    scopus 로고
    • Béme de positionnement par satellites (GPS) et des outils d'exploration et d'analyse SOLAP pour l'évaluation et le suivi de sportifs de haut niveau
    • Veilleux JP, Lambert M, Santerre R, Béme de positionnement par satellites (GPS) et des outils d'exploration et d'analyse SOLAP pour l'évaluation et le suivi de sportifs de haut niveau. In: Colloque Géomatique 2004 - Un choix stratégique!.
    • Colloque Géomatique 2004 - Un choix stratégique!
    • Veilleux, J.P.1    Lambert, M.2    Santerre, R.3
  • 54
    • 35348818202 scopus 로고    scopus 로고
    • An OLAP system for network-constrained moving objects
    • Wan T, Zeitouni K, Meng X (2007) An OLAP system for network-constrained moving objects. In: Proceedings of SAC, pp 13-18.
    • (2007) Proceedings of SAC , pp. 13-18
    • Wan, T.1    Zeitouni, K.2    Meng, X.3


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