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Modeling Moving Regions: Colorectal Cancer Case Study

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 55))

Abstract

Objects in space have to be represented in order to be stored and analyzed. The three basic abstractions of spatial moving objects are moving point, line or region. The first two abstractions are highly handled. However, moving regions have always been a challenge due to their unstable shape and movement. Researchers are not giving enough attention for managing and querying this particular type of spatial data in order to solve real world problems. Motivated by this fact, we present in this paper an overview on moving regions. We survey region’s modeling aspects. Then, we support our research by studying a biomedical case to highlight the importance of using moving regions. The case study illustrates the conceptual aspect of the movement of the colorectal cancer. We also use fuzzy logic thanks for its simplicity and its easy understanding. The combination offers an easier understanding for decision makers.

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References

  1. Erwig, M., Güting, R.H., Schneider, M., Vazirgiannis, M.: Spatio-temporal data types: an approach to modeling and querying moving objects in databases. Geoinformatica 3(3), 269–296 (1999). http://dx.doi.org/10.1023/A:1009805532638

    Google Scholar 

  2. Forlizzi, L., Güting, R.H., Nardelli, E., Schneider, M.: A data model and data structures for moving objects databases, vol. 29. ACM (2000)

    Google Scholar 

  3. Güting, R.H., Böhlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N.A., Schneider, M., Vazirgiannis, M.: A foundation for representing and querying moving objects. ACM Trans. Database Syst. 25(1), 1–42 (2000). http://doi.acm.org/10.1145/352958.352963

    Google Scholar 

  4. Güting, R.H., De Ridder, T., Schneider, M.: Implementation of the rose algebra: efficient algorithms for realm-based spatial data types. In: Advances in Spatial Databases, pp. 216–239. Springer (1995)

    Google Scholar 

  5. Güting, R.H., Schneider, M.: Realm-based spatial data types: the rose algebra. VLDB J. 4(2), 243–286 (1995)

    Article  Google Scholar 

  6. Junghans, C., Gertz, M.: Modeling and prediction of moving region trajectories. In: Proceedings of the ACM SIGSPATIAL International Workshop on GeoStreaming, pp. 23–30. ACM (2010)

    Google Scholar 

  7. Lema, J.A.C., Forlizzi, L., Güting, R.H., Nardelli, E., Schneider, M.: Algorithms for moving objects databases. Comput. J. 46(6), 680–712 (2003)

    Article  MATH  Google Scholar 

  8. Ma, Z., Zhang, F., Yan, L.: Fuzzy information modeling in uml class diagram and relational database models. Appl. Soft Comput. 11(6), 4236–4245 (2011)

    Article  Google Scholar 

  9. Moreno, A., Segura, Á., Korchi, A., Posada, J., Otaegui, O.: Interactive urban and forest fire simulation with extinguishment support. In: Advances in 3D Geo-Information Sciences, pp. 131–148. Springer (2011)

    Google Scholar 

  10. Olsen, B., McKenney, M.: Storm system database: a big data approach to moving object databases. In: 2013 Fourth International Conference on Computing for Geospatial Research and Application (COM. Geo), pp. 142–143. IEEE (2013)

    Google Scholar 

  11. Schneider, M.: Uncertainty management for spatial datain databases: fuzzy spatial data types. In: Advances in Spatial Databases, pp. 330–351. Springer (1999)

    Google Scholar 

  12. Schneider, M.: Metric operations on fuzzy spatial objects in databases. In: Proceedings of the 8th ACM international symposium on Advances in geographic information systems, pp. 21–26. ACM (2000)

    Google Scholar 

  13. Schneider, M.: Design and implementation of finite resolution crisp and fuzzy spatial objects. Data Knowl. Eng. 44(1), 81–108 (2003)

    Article  MATH  Google Scholar 

  14. Schneider, M.: Fuzzy spatial data types for spatial uncertainty management in databases. In: Handbook of Research on Fuzzy Information Processing in Databases, vol. 2, pp. 490–515 (2008)

    Google Scholar 

  15. Singh, S., Agarwal, K., Ahmad, J.: Conceptual modeling in fuzzy object-oriented databases using unified modeling language. Int. J. Latest Res. Sci. Technol. 3, 174–178 (2014)

    Google Scholar 

  16. Tøssebro, E., Güting, R.H.: Creating representations for continuously moving regions from observations. In: Advances in Spatial and Temporal Databases, pp. 321–344. Springer (2001)

    Google Scholar 

  17. Wang, Z., Zlatanova, S., Moreno, A., van Oosterom, P., Toro, C.: A data model for route planning in the case of forest fires. Comput. Geosci. 68, 1–10 (2014)

    Article  Google Scholar 

  18. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Marwa Massaâbi .

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Massaâbi, M., Akaichi, J. (2016). Modeling Moving Regions: Colorectal Cancer Case Study. In: Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2016. Smart Innovation, Systems and Technologies, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-319-39345-2_36

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  • DOI: https://doi.org/10.1007/978-3-319-39345-2_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39344-5

  • Online ISBN: 978-3-319-39345-2

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