VISUAL AND SPATIAL ANALYSIS:
Advances in Data Mining,
Reasoning and Problem Solving

SPIN! — an enterprise architecture for data mining and visual analysis of spatial data
Michael May and Alexandr Savinov

    Sections

    1.   Introduction

    2.   The system overview

    3.   The system architecture

    4.   Analysis of spatial data

    5.   Conclusion

    6.   Acknowledgements

    7.   Exercises and problems

    8.   References

    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 the 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. In the SPIN! system visual problem solving involves displaying data mining results, using visual data analysis tools, and finally producing a solution based on linked interactive displays with different visualizations of various types of knowledge and data.

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