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Geographic data mining and ...
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has been a rise in the use of knowledge discovery techniques due to the increasing collection and storage of data on spatiotemporal processes and mobile objects. Incorporating these novel developments, this second edition reflects the current state of the a
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monografia Rebiun37309142 https://catalogo.rebiun.org/rebiun/record/Rebiun37309142 m o d | cr#-n--------- 090320s2009 fluab ob 001 0 eng d 0-429-18929-X 1-282-10930-8 9786612109300 1-4200-7398-2 10.1201/9781420073980 doi MiAaPQ eng rda pn MiAaPQ MiAaPQ eng 910.285/6312 22 Geographic data mining and knowledge discovery editors, Harvey J. Miller and Jiawei Han 2nd ed Boca Raton, FL Chapman & Hall/CRC 2009 Boca Raton, FL Boca Raton, FL Chapman & Hall/CRC 1 online resource (488 p.) 1 online resource (488 p.) Text txt computer c online resource cr Chapman & Hall/CRC Data Mining and Knowledge Discovery Series Description based upon print version of record Includes bibliographical references and index Front cover; Contents; Acknowledgments; About The Editors; List of Contributors; Chapter 1. Geographic Data Mining and Knowledge Discovery: An Overview; Chapter 2. Spatio-Temporal Data Mining Paradigms and Methodologies; Chapter 3. Fundamentals of Spatial Data Warehousing for Geographic Knowledge Discovery; Chapter 4. Analysis of Spatial Data with Map Cubes: Highway Traffic Data; Chapter 5. Data Quality Issues and Geographic Knowledge Discovery; Chapter 6. Spatial Classification and Prediction Models for Geospatial Data Mining* Chapter 7. An Overview of Clustering Methods in Geographic Data AnalysisChapter 8. Computing Medoids in Large Spatial Datasets; Chapter 9. Looking for a Relationship? Try GWR*; Chapter 10. Leveraging the Power of Spatial Data Mining to Enhance the Applicability of GIS Technology; Chapter 11. Visual Exploration and Explanation in Geography Analysis with Light; Chapter 12. Multivariate Spatial Clustering and Geovisualization*; Chapter 13. Toward Knowledge Discovery about Geographic Dynamics in Spatiotemporal Databases Chapter 14. The Role of a Multitier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable MobilityChapter 15. Periodic Pattern Discovery from Trajectories of Moving Objects; Chapter 16. Decentralized Spatial Data Mining for Geosensor Networks; Chapter 17. Beyond Exploratory Visualization of Space-Time Paths; Index; Back cover The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has been a rise in the use of knowledge discovery techniques due to the increasing collection and storage of data on spatiotemporal processes and mobile objects. Incorporating these novel developments, this second edition reflects the current state of the a English Geodatabases Data mining Miller, Harvey J. Han, Jiawei 1-4200-7397-4 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series