Knowledge discovery from geographical data

Mobility, Data Mining and Privacy: Geographic Knowledge Discovery

Volumn , Issue , 2008, Pages 243-265

  Rinzivillo, S ^a   Turini, F ^a   Bogorny, V ^b   Korner C ^c   Kuijpers, B ^b   May, M ^c  

^a UNIVERSITY OF PISA   (Italy)

^b HASSELT UNIVERSITY   (Belgium)

^c FRAUNHOFER IAIS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84889847246     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-3-540-75177-9_10     Document Type: Chapter

References (45)

1. R. Agrawal and R. Srikant. Fast algorithms for mining association rules in large databases. In Proceedings of 20th International Conference on Very Large Data Bases (VLDB'94), pp. 487- 499. Morgan Kaufmann, 1994
2. G. Andrienko, D. Malerba, M. May, and M. Teisseire. Mining spatio-temporal data. Journal of Intelligent Information Systems, 27(3):187-190, 2006
3. A. Appice, M. Berardi, M. Ceci, and D. Malerba. Mining and filtering multi-level spatial association rules with ARES. In Proceedings of the 15th International Symposium on the Foundations of Intelligent Systems (ISMIS'05), pp. 342-353. Springer, 2005
4. V. Bogorny, S. Camargo, P. Engel, and L.O. Alvares. Mining frequent geographic patterns with knowledge constraints. In Proceedings of the 14th Annual International Workshop on Geographic Information Systems (GIS'06), pp. 139-146. ACM, 2006
5. V. Bogorny, P. Engel, and L.O. Alvares. Enhancing the process of knowledge discovery in geographic databases using geo-ontologies. In H.O. Nigro, S.G. Cizaro, and D. Xodo (eds.), DataMining with Ontologies: Implementations, Findings and Frameworks. Idea Group, 2007
6. V. Bogorny, J. Valiati, S. Camargo, P. Engel, B. Kuijpers, and L.O. Alvares. Mining maximal generalized frequent geographic patterns with knowledge constraints. In Proceedings of the 6th International Conference on Data Mining (ICDM'06), pp. 813-817. IEEE Computer Society, 2006
7. P.A. Burrough and R.A.McDonnell. Principles of Geographical Information Systems. Oxford University Press, 2000
8. S. Chawla, S. Shekhar, W. Wu, and U. Ozesmi. Modelling spatial dependencies for mining geospatial data. In H.J. Miller and J. Han (eds.), Geographic Data Mining and Knowledge Discovery, Chap. 6. Taylor & Francis, 2001
9. J-P. Chilés and P. Delfiner. Geostatistics - Modeling Spatial Uncertainty. Wiley, 1999
10. D.J. Cowen. GIS versus CAD versus DBMS: What are the differences? Journal of Photogrammetric Engineering and Remote Sensing, 54:1551-1555, 1988
11. N.A.C. Cressie. Statistics for Spatial Data. Wiley, 1993
12. M. Egenhofer. Reasoning about binary topological relations. In Proceedings of the 2nd International Symposium on Advances in Spatial Databases (SSD'91), pp. 143-160. Springer, 1991
13. M. Ester, J. Sander, H-P. Kriegel, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining (KDD'96), pp. 226-231. AAAI Press, 1996
14. M. Ester, A. Frommelt, H-P. Kriegel, and J. Sander. Spatial data mining: Database primitives, algorithms and efficient DBMS support. Journal of Data Mining and Knowledge Discovery, 4(2-3):193-216, 2000
15. A.S. Fotheringham and P.A. Rogerson. GIS and spatial analytical problems. International Journal of Geographical Information Systems, 7(1):3-19, 1993
16. A.S. Fotheringham, C. Brunsdon, and M. Charlton. Geographically Weighted Regression. Wiley, 2002
17. A.U. Frank. Qualitative spatial reasoning: Cardinal directions as an example. International Journal of Geographical Information Systems, 10(3):269-290, 1996
18. Fraunhofer Institut Intelligente Analyse- und Informationssysteme (IAIS). http://www.iais. fraunhofer.de, 2007
19. R. Haining. Spatial Data Analysis: Theory and Practice. Cambridge University Press, 2003
20. J. Han, K. Koperski, and N. Stefanovic. GeoMiner: A system prototype for spatial data mining. In Proceedings of the International Conference on Management of Data (SIGMOD'97), pp. 553-556. ACM, 1997
21. D.A. Hastings. Geographic Information Systems: A Tool for Geoscience Analysis and Interpretation. 1992
22. Y. Huang, S. Shekhar, and H. Xiong. Discovering colocation patterns from spatial data sets: A general approach. IEEE Transactions on Knowledge and Data Engineering, 16(12):1472- 1485, 2004
23. W. Klšgen. Subgroup discovery. In W. Klšgen and J. Zytkow (eds.), Handbook of Data Mining and Knowledge Discovery, Chap. 16.3. Oxford University Press, 2002
24. W. Klšgen and M. May. Spatial subgroup mining integrated in an object-relational spatial database. In Proceedings of the 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), pp. 275-286. Springer, 2002
25. K. Koperski and J. Han. Discovery of spatial association rules in geographic information databases. In Proceedings of the 4th International Symposium on Advances in Spatial Databases (SSD'95), pp. 47-66. Springer, 1995
26. R. Laurini and D. Thompson. Fundamentals of Spatial Information Systems. Vol. 37. APIC Series. Academic Press, 1992
27. P.A. Longley, M.F. Goodchild, D.J. Maguire, and D.W. Rhind. Geographic Information Systems and Science, Chap. 3. Wiley, 2001
28. D. Malerba and F.A. Lisi. An ILP method for spatial association rule mining. In Proceedings of Workshop on Multi-Relational Data Mining (MRDM'01), pp. 18-29, 2001
29. D.Malerba, F. Esposito, A. Lanza, F.A. Lisi, and A. Appice. Empowering a GIS with inductive learning capabilities: The case of INGENS. Journal of Computers, Environment and Urban Systems, 27(3):265-281, 2003
30. D. Malerba, M. Ceci, and A. Appice. Mining model trees from spatial data. In Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), pp. 169-180. Springer, 2005
31. M. May. Data mining cup, presentation, 2006. http://www.data-mining-cup. de/2006/Fachkonferenz/Programm/.
32. M. May and S. Savinov. SPIN! - an enterprise architecture for spatial data mining. In Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'03), pp. 510-517. Springer, 2003
33. H.J. Miller. Geographic data mining and knowledge discovery. In J.P. Wilson and A.S. Fotheringham (eds.), Handbook of Geographic Information Science. Blackwell, 2006
34. Open GIS Consortium. OpenGIS abstract specification, 1999. http://www.opengeospatial.org/standards/as.
35. T. Ott and F. Swiaczny. Time-integrative Geographic Information Systems - Management and Analysis of Spatio-Temporal Data. Springer, 2001
36. D. Papadias and Y. Theodoridis. Spatial relations, minimum bounding rectangles, and spatial data structures. International Journal of Geographical Information Science, 11(2):111-138, 1997
37. P. Rigaux, M. Scholl, and A. Voisard. Spatial Databases. With Application to GIS. Morgan Kaufmann, 2001
38. S. Rinzivillo and F. Turini. Extracting spatial association rules from spatial transactions. In Proceedings of the 13th Annual International Workshop on Geographic Information Systems (GIS'05), pp. 79-86. ACM, 2005
39. J. Sander, M. Ester, H-P. Kriegel, and X. Xu. Density-based clustering in spatial databases: The algorithm GDBSCAN and its applications. Journal of DataMining and Knowledge Discovery, 2(2):169-196, 1998
40. S. Servigne, T. Ubeda, A. Puricelli, and R. Laurini. A methodology for spatial consistency improvement of geographic databases. Geoinformatica, 4(1):7-34, 2000
41. S. Shekhar and S. Chawla. Spatial Databases: A Tour. Prentice Hall, 2002
42. SPIN! Spatial mining for public data of interest, 2007. http://www.ais.fraunhofer.de/KD/SPIN/.
43. W. Tobler. A computer movie simulating urban growth in the Detroit region. Journal of Economic Geography, 46(2):234-240, 1970
44. H. Wackernagel. Multivariate Geostatistics. Springer, 1998
45. Y.Wang and I. Witten. Inducing model trees for continuous classes. In Proceedings of the 9th European Conference on Machine Learning (ECML'97), Poster Papers, pp. 128-137, 1997