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SPIN!-An Enterprise Architecture for Spatial Data Mining

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

The rapidly expanding market for Spatial Data Mining systems and technologies is driven by pressure from the public sector, environmental agencies and industry to provide innovative solutions to a wide range of different problems. The main objective of the described spatial data mining platform is to provide an open, highly extensible, n-tier system architecture based on Java 2 Platform, Enterprise Edition (J2EE). The data mining functionality is distributed among (i) Java client application for visualization and workspace management, (ii) application server with Enterprise Java Bean (EJB) container for running data mining algorithms and workspace management, and (iii) spatial database for storing data and spatial query execution.

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References

  1. Andrienko, N., Andrienko, G., Savinov, A., Wettschereck, D.: Descartes and Kepler for Spatial Data Mining. ERCIM News (40), 44–45 (2000)

    Google Scholar 

  2. Andrienko, N., Andrienko, G., Savinov, A., Voss, H., Wettschereck, D.: Exploratory Analysis of Spatial Data Using Interactive Maps and Data Mining. Cartography and Geographic Information Science 28(3), 151–165 (2001)

    Article  Google Scholar 

  3. Ester, M., Frommelt, A., Kriegel, H.P., Sander, J.: Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. Data Minining and Knowledge Discovery, an International Journal (1999)

    Google Scholar 

  4. European IST SPIN!-project web site, http://www.ccg.leeds.ac.uk/spin/

  5. JBoss Application Server, http://www.jboss.org

  6. Klösgen, W., May, M.: Spatial Subgroup Mining Integrated in an Object-Relational Spatial Database. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), vol. 2431, pp. 275–286. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  7. Klösgen, W., Zytkow, J. (eds.): Handbook of Data Mining and Knowledge Discovery. Oxford University Press, Oxford (2002)

    MATH  Google Scholar 

  8. Koperski, K., Adhikary, J., Han, J.: Spatial Data Mining, Progress and Challenges, Vancouver, Canada, Technical Report (1996)

    Google Scholar 

  9. Koperski, K., Han, J.: GeoMiner: A System Prototype for Spatial Mining. In: Proceedings ACM-SIGMOD, Arizona (1997)

    Google Scholar 

  10. Lisi, F.A., Malerba, D.: SPADA: A Spatial Association Discovery System. In: Zanasi, A., Brebbia, C.A., Ebecken, N.F.F., Melli, P. (eds.) Data Mining III, Series: Management Information Systems, vol. 6, pp. 157–166. WIT Press, Southampton (2002)

    Google Scholar 

  11. May, M.: Spatial Knowledge Discovery: The SPIN! System. In: Fullerton, K. (ed.) Proceedings of the 6th EC-GIS Workshop, Lyon, June 28-30, European Commission, JRC, Ispra

    Google Scholar 

  12. May, M., Savinov, A.: An integrated platform for spatial data mining and interactive visual analysis, Data Mining 2002. In: Third International Conference on Data Mining Methods and Databases for Engineering, Finance and Other Fields, Bologna, Italy, September 25-27, pp. 51–60 (2002)

    Google Scholar 

  13. Savinov, A.: Mining Interesting Possibilistic Set-Valued Rules. In: Ruan, D., Kerre, E.E. (eds.) Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, pp. 107–133. Kluwer, Dordrecht (2000)

    Chapter  Google Scholar 

  14. Savinov, A.: Mining Spatial Rules by Finding Empty Intervals in Data. In: Palade, V., Howlett, R.J., Jain, L. (eds.) KES 2003. LNCS, vol. 2774, Springer, Heidelberg (2003) (accepted)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Autonomous Intelligent Systems, Schloss Birlinghoven, Sankt-Augustin, D-53754, Germany

    Michael May & Alexandr Savinov

Authors
  1. Michael May
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  2. Alexandr Savinov
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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May, M., Savinov, A. (2003). SPIN!-An Enterprise Architecture for Spatial Data Mining. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_70

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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